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Data Scientist Bot Management

Cloudflare

About the Department  Cloudflare’s Engineering Team builds and runs the software that handles requests on the Internet today. We also build and run the internal tools that builds and runs our software. The Engineering Team is split into two groups: one handles product development and the other handles operations. Product development covers both new features and functionality and scaling our existing software to meet the challenges of a massively growing customer base. The operations team handles one of the world’s largest networks with data centers in 102 cities worldwide.  About the Team  Our team is responsible for building security products and solutions that help our customers filter out unwanted internet traffic. We do so by leveraging the enormous amount of internet traffic we have in deriving deep and meaningful data insights, and by designing and leveraging machine learning models and other techniques that can operate on high volume and velocity of data with high precision, performance and scalability.  We are looking for a strong data scientist to come join Cloudflare and help us drive predictive analytic insights and best practices at scale from the ground up. This is a high visibility role and success in this role comes from marrying a strong data & modeling background with security acumen especially in fraud and malicious activity detection. What we look for: Predictive Modeling techniques, Machine Learning, Model creation and deployment, Storytelling and Visualization, Cross-functional Collaboration, Creative Problem solving, Agile  About your Role  Partner with product managers, data engineers, machine learning engineers and other key stakeholders in understanding the need for data insights and predictive analytics in the area of security and fraud detection in a globally distributed environment.  Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineers and machine learning engineers to improve the data collection and quality. Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.  Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.  Define, implement, and train statistical, machine learning, and deep learning models. Use software engineering best practices to publish model scores/insights/learnings at scale within the company.  Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.  Qualifications  M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative field. Strong experience in scientific computing using Python or Scala.  Experience with SQL.  Experience working with and processing structured, unstructured, and semi-structured data. Work closely with data engineering team to ensure robust data pipelines and model deployment. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.  5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams).  Strong communication and presentation skills catered to different audience within the company. Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.  Strong data analytical skills, taking initiative in deriving data insights and thread intelligence, and proposing models and solutions that can lead to quick and effective proof-of-concept (POC).  Preferred  Experience in cyber security, fraud detection, internet & networking protocols Experience in productionizing machine learning models  Familiarity writing and optimizing advanced SQL queries in Clickhouse  Good Linux/UNIX systems knowledge

Senior Data Scientist Product Analytics

Slice

Pizza is at the heart of our communities. From birthday parties to gameday potlucks, life’s special moments are bettered by the craftsmanship and tradition found behind local pizzerias’ counters. We’re here to make sure these iconic small businesses serve our communities for generations to come by giving them the digital tools and services commonly found at big chains. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?  The Role Data at Slice is a centralized group reporting directly to our CEO and founder. As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Data Scientist who can provide data-driven insights to our leadership and executive team. You will work on data science and analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story. What you'll do: Work closely with the Product team to build and execute a data-driven product roadmap Define metrics and success criteria for new and existing company initiatives Work cross functionally with the Finance, and Go To Market teams to drive roadmaps and inform key strategic decisions Define metrics and utilize dashboards to measure the health of our initiatives Identify and clearly communicate actionable insights for cross functional stakeholders Advocate for data-informed decision making and continue to build an insights-driven culture at Slice Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions What we are looking for: MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.) 3+ years of total experience in a highly quantitative role 2+ years of experience as a data scientist Working experience in statistics, experiment design and evaluation Experience in the modern data analysis stack, including Python and SQL (R knowledge optional) Impeccable communication skills and ability to share complex, uncertain results to an executive audience   About Slice: Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.  Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 700+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Operational Data Scientist

Ripjar

At Ripjar, we are making the world more secure using technology. Our platform enables organisations and governments to prevent financial crime and other illegal activities.This is a great time to join a growing group of highly talented technologists and data scientists who are designing products that solve real world issues and are changing the way criminal activities are detected and prevented.Team mission:Our team enables the delivery of high-quality software to a variety of environments through technical skills, process implementation and software management, anchored in a continuous innovation culture.What you’ll be doing:As an Operational Data Scientist, you will be responsible for working directly with our customers, in a consultative manner, to deploy and optimise Ripjar's analytical solutions and machine learning capabilities to solve their specific problems. You will become an expert in the inner workings of our analytics and be able to advise our customers on how the software can be used appropriately and effectively to meet their needs. Using your creativity and problem-solving skills you will work closely with our customers, supported by your colleagues across Ripjar, to provide solutions to their biggest challenges.When you are not working directly with our customers you will be exploring and experimenting with new and interesting techniques, building capabilities that showcase our latest tech, supporting our partners, and improving our core products. You will be actively involved in understanding, sourcing, integrating, and deriving value from new and relevant data sources.Ripjar is a company with analytics right at the heart of what it does. The technology you will be using on a daily basis to help our customers detect financial crime and other risks will include: Knowledge Graphs, Entity Resolution, Natural Language Processing (NLP) techniques, Neural Networks and Visual Analytics. You will therefore need to be able to pick up new ideas and concepts quickly and be adaptable as our technology stack evolves and improves.Key tasks Research and select relevant technologies, approaches and implementations to solve a given business problem Implement machine learning techniques into engineered solutions that can be integrated into Ripjar’s core technology offering Optimise the performance of our data analytics to maximise their performance for our customer's operational deployments Communicate the design of our data science and machine learning capabilities and how they work to our customers, analysts and fellow engineers The successful candidate should have these skills:We recognise that demonstrable skills in all these technologies is not easy to find. Don’t let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps Strong software engineering experience in at least one programming language (Python preferred) Working knowledge of machine learning and other algorithms Excellent communicator and able to confidently represent Ripjar to current and prospective customers Understand the nuances of dealing with structured and unstructured data Experience with Linux Experience with Spark (Pyspark), Hadoop or other Big data technologies would be beneficial Why we think you’ll love it here Base Salary of up to £75,000 per year DOE 25 days annual leave, rising to 30 days after 5 years of service Fully remote working option for employees Company Share Scheme Private Family Healthcare Employee Assistance Programme Company contributions to your pension Enhanced maternity/paternity pay The latest tech including a top of the range MacBook Pro Offices in Cheltenham, London and Bristol For those working remotely, financial assistance will be available to help set up your home office There is a well-stocked pantry with food, snacks and drinks when in the office

Applied Research Scientist Machine Learning

Medium

At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers.  While more and more people share their little stories that make your day better or declare manifestos that change the world, our recommendation algorithms and our understanding of natural language have to handle new topics, new interests, new styles, and new audiences every day.  Research at Medium is about helping our team discover connections between readers and writers, from professional journalists to amateur cooks, shared on a beautiful, collaborative tool. Methods we use span from collaborative filtering approaches to supervised and unsupervised learning models, from deep learning to natural language processing techniques.  How do we introduce a new article just published by the Economist about Elizabeth Taylor? Are the movie enthusiasts or the jewelry fans the right audience? Is 'origami' the art of paper folding or a new software? Answering these questions will require you to apply well-studied machine learning approaches, and invent your own algorithmic solutions.  We are looking for an Applied Research Scientist in Machine Learning that will work closely with other engineers to build and train models to recommend the articles that our readers will love, and understand natural language in Medium posts better. You will build machine learning model prototypes, use statistical learning tools to discover structure in our data coming from millions of interactions daily. What will you do? You will select and tune machine learning models and measure their performance for recommendation tasks and many other natural language processing tasks. You will work closely with system engineers to get your research ideas into production and run experiments. You will use tools to extract and transform data, engineer features for your model, build offline evaluation tools. You will apply state-of-the-art machine learning technologies to find the most interesting and relevant content for readers on Medium and help them get value from Medium by measuring model performance in offline and online settings. You will collaborate with data scientists, product managers, and other engineers across the company. Who are you? You have worked for 2+ years on machine learning models for item recommendation and NLP applications. You have experience working on production machine learning systems at scale, analytics, search, ranking, recommendations, and/or natural language processing. You have a deep understanding of machine learning models, feature engineering, and how to evaluate model performance. You are fluent in Python and are familiar with Python ML libraries such as sklearn, TensorFlow and/or PyTorch Nice to have: Experience getting models into production, preferably at scale This role can be based in San Francisco, New York, or be remote within the U.S.  At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.  Interested? We'd love to hear from you.

Data Analyst Scientist Philanthropy

Khan Academy

OVERVIEW Khan Academy is a nonprofit on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of high-quality instructional and practice resources that empowers learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students the resources to realize that they can learn anything. Khan Academy is looking for an experienced data analyst/ scientist to join our growing team. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.  JOB RESPONSIBILITIES Identify and measure success of our philanthropy initiatives through goal setting, forecasting, and monitoring/analysis of core metrics Perform advanced exploratory analyses on large sets of data to extract insights around our donor behavior to guide our philanthropy investments and initiatives Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of our donation campaigns and suggest improvements Support data-driven narratives across our fundraising activities (i.e. funders, grant commitments) Contribute to development of self-service analytics tools to enhance data access for the philanthropy team YOU MAY BE A FIT IF YOU HAVE... A passion for Khan Academy’s vision and a desire to change the world Background in applied math, statistics, economics, or a related technical field 2-3 years experience in data science or analytics Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications Strong SQL foundations & ability to manipulate data using R or Python Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders Strong business intuition & judgment, with a knack for asking the right questions Prior experience working with Marketing/Sales functions is a plus Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)  WE OFFER THE FOLLOWING BENEFITS We offer the following benefits We may be a non-profit, but we reward our talented team well! Competitive compensation salaries The opportunity to work on high-impact content that's already defining the future of education and improving students’ lives Ample paid time off as needed – we’re about getting things done, not face time Generous parental leave  Flexible work and time-off schedules to encourage work-family balance and holidays Oh, and we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life A fun, high-caliber team that trusts you and gives you the freedom to be brilliant Affinity groups where parents, Black and Latinx, women and gender minorities, and LGBTQ+ identified folks support one another HOW TO APPLY Please submit your resume through the form on our careers page and respond to all of the question prompts to be considered. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status.

Data Scientist Product Analytics

Grammarly

The opportunity  Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment. To achieve our ambitious goals, we’re looking for a Data Scientist to work with product partners by understanding our users, contributing to product/growth strategy, and developing fundamental measurement frameworks. This person will be a trusted subject matter expert who will uncover new insights to inform product/growth strategy. Data Scientists at Grammarly work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and need someone with deep technical and analytical skills to break down complex business problems to provide solutions. Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your impact As a Data Scientist, you will: Have a broad scope and an evolving role in a rapidly growing company. Do deep-dive analyses into user behavior. Quantitatively study large user segments. Develop user segment targeting strategy. Drive direction on the Product and Growth teams. Identify new Product and Growth opportunities. Opportunity size new strategic levers. Provide data-driven solutions to complex product and growth questions. Define advanced metrics. Advise on experimentation strategy. Identify strategic data needs. We’re looking for someone who Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Would be an influential and effective thought partner to our product teams who shows strong communication, proactiveness, creativity, and prioritization skills. Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights. Has experience helping others understand numbers. Has experience in data analysis, statistics, and experimentation. Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language. We are looking to hire candidates with varying years of experience in Data Science. Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience. Support for you, professionally and personally Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback. A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs. Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, admission discounts, and more. We encourage you to apply At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.

Senior Data Scientist India

Chargebee

Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform. Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA. Chargebee has raised over $230 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we’re on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model. Summary The Senior Data Scientist role is a high-impact opportunity to influence decision making and customer opportunities through continuously exploring, finding and sharing actionable recommendations to the Leadership team. You will work with people across functions and teams to deliver business value. You will also help shape the Data Science Team by contributing to hiring and mentoring less experienced members of the team. We want to work with a technically stellar, forward-thinking individual who can collaborate well. Responsibilities Explore, find and share actionable recommendations from dataBuild predictive models and learning systems to enable business strategyEngage with people across functions to surface questions, build hypotheses and test themInfluence the organisation's data science strategyShape the Data Science team through hiring, mentoring and leading projects Must have 7+ years experience in an analytics role4+ years experience in data science, or similar role Experience in developing machine learning models to run in a production environment Good to have Strong communication and narrative skills to present outcomes from analyses and make actionable recommendations Masters or Higher in Computer Science, Statistics, Applied Mathematics, Physics, or other quantitative majors What makes us who we are: We are Globally Local: With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood.We value Curiosity: We believe the next great idea might just be around the corner. Perhaps it’s that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, figure out answers to them, and foster a continuous learning environment.Customer! Customer! Customer!: Everything we do is driven towards enabling our customers’ growth. This means no matter what you do, you will always be adding real value to a real business problem. It’s a lot of responsibility, but also a lot of fun. If you resonate with Chargebee, have a monstrous appetite for curiosity, and an insatiable urge to learn and build new things, we’re waiting for you! We value people from all backgrounds and are dedicated to hiring and employing a diverse and inclusive workplace. Come be a part of the Chargebee tribe! Chargebee might be the opportunity you’re looking for If you’re interested in how subscription businesses can get more efficient. If you’re hungry to give and receive feedback, fully understanding that challenging perspectives are the only way that you can grow. If you can bring empathy to problem solving. If this sounds interesting but you’re not sure you'll tick all the boxes, apply anyway! There’s tons of room to grow at Chargebee. Let’s talk apply with your résumé to get the conversation started Apply Now

Senior Data Scientist

Getty Images

Notice:  Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here. Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).   US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.   Help us move the world with images! Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.   Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Senior Data Scientist - United States or Canada Duration: Permanent Location: United States or Canada Start: ASAP Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office. Who You Are: We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions. Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.  Your Next Challenge: Build industry-leading algorithms for search, personalization, and recommendations, using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences Guide and mentor other data scientists and data analysts in formulating and implementing our technical roadmap Contribute to development our technical ranking strategy alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success Develop and implement online and offline testing and validation methodologies Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms and models in the production process  What You’ll Need: Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products A minimum of 3 years validated experience Proven expertise providing mentorship and guidance to team members. A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred  Mental and Physical Demands: Frequent communication with others to exchange information. Frequent sedentary work that primarily involves sitting/standing; Time of each will vary. Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc. Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required) Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy. Benefits at Getty Images   Health Insurance We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.   Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.     Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.     401(k) Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!    Learning & Growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behaviour and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experience Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected]. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Data Scientist

Twilio

See yourself at Twilio Join the team as our next Data Scientist Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum. About the job This position is needed to help scale our understanding of the Twilio user experience by modeling customer attributes and behaviors across multiple touchpoints in order to achieve three important outcomes.  First, we want to identify optimizations that can accelerate the path from signup to production.  Second, we want to identify product characteristics that lead to satisfying long-term user experiences.  And finally, we want to classify different types of users based on their characteristics and behaviors. Our team is small but growing quickly.  You will have the opportunity to make a big impact on a team that is getting a lot of visibility and tackling novel challenges in data modeling. Responsibilities In this role, you’ll: Model the relationship between user characteristics + behaviors and key business outcomes. Classify different types of users based on their characteristics and behaviors. Partner with stakeholders from multiple disciplines (PMs, data scientists, data analysts, data engineers, qualitative researchers) to clearly define the problems to be solved. Communicate insights from your analyses to diverse audiences including non-technical and technical roles. Plan your work for each quarter (e.g. a deliverables roadmap) and for each 2 week sprint (using Jira). Qualifications  Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Significant experience modeling and classifying data using machine learning techniques, including clustering techniques, using Python and/or R in a full time position. Proficient working with SQL and relational data, including joining, aggregating and filtering data. A degree in data science, analytics, or related field and relevant experience.  The following are guidelines: Ph.D. + 2 years of relevant experience or a Masters + 5 years of relevant experience or a BS/BA + 7 years of relevant experience. Strong knowledge of statistics and probability including descriptive statistical concepts like mean, median, mode, variance, the standard deviation;  inferential statistical techniques and concepts like regression, t-test, ANOVA and maximum likelihood estimators; and characteristics of different distributions.   Ability to influence and build effective working relationships with all levels of the organization. Significant experience with communicating insights from your analyses to diverse audiences including both non-technical and technical roles, including executives. Data visualization experience, especially Tableau. Desired: Experience with time series and/or forecasting methods. Experience with AWS (Sagemaker, EC2, Lambda, etc.). Location  This role will be remote, and based in Denver CO, USA. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. (Location dependent information) *Please note this role is open to candidates outside of Colorado as well. The information below is provided for those hired in Colorado only. *If you are a Colorado applicant: The estimated pay range for this role, based in Colorado, is $109,824 - $151,008 Sales Commission: Additionally, this role is eligible to earn commissions and eligible to participate in Twilio's equity plan. Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.  

Senior Data Scientist

Transfix

About Transfix: Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology. Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry. By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.  The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.  About the Role: We are seeking a Data Scientist to join and play a critical role in our growing and evolving Data function. In this position, you will implement machine learning models into critical business processes, forecast industry trends, and build data pipelines. You’ll utilize your expertise querying databases, programming, and experience with machine learning and advanced statistical techniques to solve high-priority problems and generate strategic insight for stakeholders. The Data Science team has an ambitious roadmap and we’re looking for someone to elevate the team by upgrading current models and building new ones. If you have experience building models that have been deployed to solve business problems, love manipulating data, and are looking to grow as a data scientist in a fast paced environment, then this role could be for you! What You’ll Do In this Role: Build and upgrade models related to improving our ability to price effectively in the freight auction marketplace Utilize industry data and key indicators to build forecasting models that predict freight market price changes Collaborate with and provide analytic and machine learning support for key teams across the organization (such as Sales and Operations) Query databases and utilize programming languages (such as Python or R) to constantly improve our modeling capabilities and continuously look for ways to add value to the business Partner with the larger data team on data-driven analysis, key insights, and reports on KPIs How You Know this Role is For You: You have a Bachelors and/or Masters degree in Statistics, Mathematics, Computer Science or another quantitative field You have 5+ years of experience manipulating data sets and building statistical models You have working experience building models that have been deployed to production and have added tangible value to a business You have extensive programming experience in a language such as Python or R You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting   You're looking to grow your career in Data Science! You’re intellectually curious, have a bias for action, show humility and pragmatism, are detail oriented and an outstanding communicator  Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to): -Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and protect to prevent inequalities  -Building relationships among our employees, customers, and supporters that are reflective of our community -Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership -Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity -Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages. To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.

Data Scientist

Skylight

Skylight is at the forefront of a civic movement to reinvent how the government serves the public in a digital world.We’re looking for a Data Scientist to join our talented team of technologists in driving this movement forward.You’ll be a key part of our small, but rapidly growing team, which consists of former Presidential Innovation Fellows, founders of 18F, and members of the U.S. Digital Service.We work in small, fast, agile teams to create exceptional customer experiences and enduring solutions out of the government’s most complex design and technology challenges. The work is challenging, but highly rewarding.What you’ll do: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Select and use the right tools, frameworks, languages, and technologies for the job, with a preference for open-source solutions Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists Represent Skylight's culture of delivery when interacting with government stakeholders and other contractors What we’re looking for: In-depth knowledge of computer science, statistics, and/or mathematics Experience using advanced statistical and data-mining techniques such as regression, properties of distributions, and statistical tests Expertise in programming languages/frameworks such as Java/Scala, R, Python, and SQL Experience with distributed data/computing tools such as Spark, Hadoop, and Hive Experience using web services such as Redshift and S3 Expertise in machine learning and deep-learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, and Apache Spark MLlib Experience using business intelligence tools such as Tableau, SAS, Microstrategy, and Looker Experience working with notebooks such as Jupyter, Zeppelin, and Databricks Notebook Experience visualizing/presenting data to stakeholders using tools such as Matplotlib, Seaborn, and D3 Strong analytical and problem-solving skills Strong business acumen and curiosity A drive to learn and master new technologies and techniques Ability to select and use the right tools for the job, particularly open-source solutions Ability to communicate clearly to technical and non-technical audiences Experience working within a multidisciplinary, agile team format A mindset and work approach that aligns with our core values Ability to travel from time to time (when it's safe) We focus on supporting you in a variety of ways: Competitive salary Medical insurance, dental insurance, vision insurance Short-term and long-term disability insurance Life and AD&D insurance Dependent care FSA, healthcare FSA, health savings account Dollar-for-dollar 401(k) match up to 10% of your salary Flexible paid-time-off policy (minimum of 29 days), which covers any type of leave (such as holiday, sick, and vacation) that you need or want to take Minimum of 9 weeks paid time off for all eligible new birth, adoption, or foster parents Performance rewards, including annual salary increase, annual performance bonus, spot bonuses, and stock options Business development / sales bonuses Referral bonuses Annual $2,000 allowance for professional development Annual $750 allowance for tech-related purchases Annual swag budget of $50 to display your Skylight pride with some merchandise (hoodies, hats, and more) Dollar-for-dollar charity donation matching, up to $500 per year Access up to $1,000 before payday to cover emergency expenses Remote-friendly work environment An environment that empowers you to unleash your superpowers for public good We participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.We're an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Data Scientist Risk Modeler

Moody S

Imagine what we can INSPIRE with you Moody’s empowers people to make better decisions and achieve brighter futures. This is what motivates us to bring out the best in our products and our people. Join us. Forward Together. Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more atmoodys.com. Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace. Department We are looking for a senior risk modeler to join our Moody’s Analytics business analytics team. Our team is directly involved in the development of a wide range of analytical solutions, including credit risk, interest rate risk, liquidity risk, ESG and climate risk. On this role you may also participate in consulting projects with major banks and other institutions worldwide. Being a part of truly global Moody’s Analytics team, risk modelers contribute to diverse projects in every phase, including data analysis, methodology design, model development and enhancement, documentation writing, results delivery and interpretation. We are looking for collaborative, highly motivated individuals with strong quantitative and communication skills, willing learn and develop in a very dynamic and multicultural environment. Role/Responsibilities Moody’s Analytics Economics Division, located in New York, NY, is a leading independent provider of economic, financial, country, and industry research designed to meet the diverse planning and information needs of businesses, governments, and professional investors worldwide. You would be responsible for credit modeling, including the development, implementation, and validation of probability of default (PD) and loss given default (LGD) models using state-of-the-art statistical and econometric techniques. Emphasis is on retail credit but with some exposure to corporate and other forms of risk modeling in partnership with sister companies within Moody’s. You would also be responsible for forecasting and simulation exercises, with emphasis on stress testing under alternative scenarios; contract consulting work with major financial institutions and other industry players worldwide. The successful applicant would be involved in proposal writing, modeling specification, estimation and validation, final reports and documentation writing; meeting with clients to discuss proposed and current projects; making presentations at conferences; and general client service, including serving as primary point of contact for credit modeling issues. Qualifications The ideal candidate would have a BA or Master’s degree in Finance, Statistics or Economics. Industry experience in quantitative risk modeling and/or loss forecasting is preferred though candidates with strong analytical backgrounds and programming skills (Ex: Stata, SQL, R, Matlab, C++, Python) will be considered. Ability to communicate technical subject matter clearly and concisely to individuals from various backgrounds is a plus. Excellent writing, presentation, project management and interpersonal skills are required. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications. For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law. Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Data Scientist Sr Data Scientist

Vidiq

Job description About Us vidIQ’s mission is to advance the creator's journey with actionable data-driven insights. We pursue this through our values of being creator obsessed, lean and fast, and being scientific. We have already helped millions of creators take their channels to the next level. Simply put, we change lives. Why Join Us? Our work is exciting as we are transforming the creator analytics space. This has provided many of us the opportunity to work on new and exciting projects. Equally, we’ve set up our people for success by giving them professional development opportunities like courses or conferences that will help them acquire desirable skills/experience. Our company has met the future of work head on, with a fully remote company, capable of giving you flexibility to balance work and life. When it’s time to go on a break, we have an unlimited vacation policy so you can recharge. Lastly, we celebrate our wins and try to enjoy work by going on fun retreats to exciting destinations, such as Spain, Portugal and amazing places to come. We are committed to diversity and inclusion. We work hard to enable creators of all kinds to succeed and, to that end, we prioritize diverse talent and an inclusive environment that encourages collaboration and creativity. We’re committed to building a company and a community where people thrive by being themselves and are inspired to do their best work every day. What you will be doing Help build the machine learning-powered algorithm products that make vidIQ a leader in the video analytics spaceDesign, prototype, help engineers to implement, and A/B test innovative algorithms that work at scale, drawing on recommender systems, natural language processing, computer vision, and other relevant domainsBe an advocate for and help to identify new machine learning and AI product opportunities for the businessWork closely with cross-functional teammates, including product managers, engineers, designers, and product analysts, to deliver the highest impact to our users Job requirements Who you are 3+ years of relevant industry experienceAdvanced degree in machine learning, computer science, statistics, biostatistics, mathematics, or related quantitative fieldExperience shipping at least one commercial product using deep learning in the area of NLP or computer vision at B2C-like scale  as well as working with cross-functional teams in an agile-like environment.Strong understanding of various neural network architectures (CNN, RNN, LSTM) specifically applied to solve NLP and/or computer vision problems, with an emphasis on Transformer-based architecturesDeep understanding of word embeddings, BERT, GPT, text classifiers, transfer learning, text mining, and text labelling conceptsSubstantial experience with multiple technologies and libraries from the following list: Tensorflow/Keras, PyTorch, pandas, sklearn, Huggingface, Gensim, and spaCyYou have a strong grasp of machine learning fundamentals and ability to design intuitive, working ML solutions in response to complex business problemsYou have a strength in the “design and prototype” part of the ML development pipeline, beginning with pulling datasets using SQL and ending with serializing ML models and assisting engineers to productionize model retraining and model serving systemsYou have no problem with communicating ML/algorithm designs clearly to cross-functional team members, especially engineers and product managersYou are well versed in SQL data warehouses such as Redshift and Snowflake, have worked on current ML tools such as TensorFlow, PyTorch, and Python, and feel comfortable with recommender systems, natural language processing, or computer visionTo take it one step further, you are effective at translating and blending traditionally distinct ML concepts such as recommender systems, NLP, regression, and classification into a common framework such as TensorFlow

Senior Analyst Data Science Sportsbook

Draftkings

The strategy behind the game. We’re growing rapidly and are searching for a Senior Analyst to drive insights for our Data Science Product team while focusing on our Sportsbook vertical. The Data Science Product team is in charge of crafting the overall strategy for Data Science and defining the project requirements and goals for our Data Science Engineers.  In this role, you’ll be responsible for partnering with our Product Managers and using data to prioritize our product roadmap and measure the success of key initiatives. You will help guide the future of our products, specifically Online Sportsbook. You will work cross-functionally to identify high-value opportunities to implement data science and generate insights to improve the performance of existing products. Sound good to you? Join us. What you’ll do as a Senior Analyst, Data Science Product: Conduct open-ended analysis on Sportsbook product navigation and customer journeys to create and prioritize the Data Science roadmap for recommendations. Define measurable goals for existing and future Data Science products and create dashboards to monitor the performance of these critical success metrics. Set up and analyze experiments comparing Data Science algorithms against each other to test hypotheses and drive value for the business. Partner with the data science team to develop algorithms and models to best personalize the experience for Sportsbook customers. Mentor and coach other analysts across the business. What you’ll bring: 2+ years of analytics or data science experience. Bachelor’s degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, or another relevant discipline. Ability to take complicated problems and create simple, analytical frameworks. Comfortable synthesizing technical analysis and presenting to cross-functional audiences. Expertise with SQL, Excel and R, Python, or another statistical programming language. Familiarity with Tableau or similar data visualization tools. Experience with inferential statistics and predictive modeling. Ability to work autonomously, with a strong desire to produce high-quality work. This position can sit in either Boston, MA or remote; however, this work is to be performed entirely outside of Colorado. #LI-DC1 Who are we a good fit for?  We love working with talented people but more than that, we seek out compassionate co-workers with a collaborative spirit. Our work moves quickly and we’re great at coming together to find creative solutions to some of tech’s most interesting problems. If that sounds good to you, join us. We are DraftKings. We’re inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space propelled by constant curiosity and diverse perspectives.Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence. Join Us! We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability. Ready to build what’s next? Apply now. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.

Data Scientist People Analytics

Draftkings

Love data? We do too. The People Analytics team is a new and rapidly growing function within the People organization. We are using analytics and data science to help DK employees work better, be more engaged and reach their full potential.  We are searching for a data scientist who is a self-starter, creative, and passionate about conducting impactful applied research. Our rapid growth and global expansion presents an opportunity for driving efficiencies across the business, especially for our most valuable asset - our people. In this role, you will leverage advanced quantitative methods to derive actionable insights and make related programmatic recommendations. You’ll focus on key People Analytics opportunity areas such as - performance, productivity, organizational effectiveness and quality of hire. What you’ll do as Data Scientist, People Analytics: Generate new insights using large data and make recommendations on additional data collection Conduct research and build predictive models for the integral points in the employee lifecycle. Translate stakeholder needs into analytical requirements through close collaboration with the People team leaders. Communicate key insights and recommendations to executive leaders across the organization. Be a thought-leader on the People team by elevating analytical knowledge and maturity across all People functions. What you’ll bring: Master’s or PhD degree in a qualitative field (such as Economics, Psychology, Statistics, Computer Science) 1+ years of experience in an applied data science role  Experience applying statistical concepts in research (such as regression modeling, causal inference/quasi-experimental methods, data transformation); Knowledge of Bayesian methods Experiencing managing and analyzing data using R or Python (or a similar language; Proficiency in SQL  Strong analytical and critical thinking skills. Ability to work in a fast-paced, results-driven environment. Comfortable working autonomously with a strong desire to produce high-quality work. Passion for continued learning and growth in the applied analytics space Who are we a good fit for?  We love working with talented people but more than that, we seek out compassionate co-workers with a collaborative spirit. Our work moves quickly and we’re great at coming together to find creative solutions to some of tech’s most interesting problems. If that sounds good to you, join us. We are DraftKings. We’re inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space propelled by constant curiosity and diverse perspectives.Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence. Join Us! We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability. Ready to build what’s next? Apply now. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.

Data Scientist

Jellysmack

Jellysmack is the global creator company that detects and develops the world's most talented video creators on social media. We're an optimistic crew who naturally goes the extra mile, has a glass-half-full mindset, and sees challenges as opportunities. We look for positive people who think outside the box, are inventive, bold, lead change, and believe that teamwork matters. The Team Culture Our job is to take numbers and turn them into reasons to celebrate! Data drives everything we do at Jellysmack and is thus essential to the company. Data is at the heart of our success, and it drives the content we create and how we edit videos so we can optimize everything we publish. Everyone on our team is capable of going above and beyond the call of duty. Our goal is to gather and analyze data to help the company grow. Do you have what it takes to be part of our team? The Role As a Data Scientist, you will be responsible for product development using data science, all in a strong spirit of collaboration. You will also participate in a guild made up of thirty data scientists to date to share knowledge. You will also have the opportunity to be a mentor for more junior profiles at the algorithmic level and work on our current Data Science projects-- we already have over 40 algorithms in production. The Responsibilities Understanding the financial business challenges and converting them into a Data Science problem. Setting up Time Series POCs and measuring the business impact. Working on Pricing and Budget allocation models. Industrializing and deploying MVPs in production while ensuring quality throughout the process. Supporting junior profiles, be able to popularize complex algorithms and take on a mentoring role on the Data team. Jellysmack’s technical Stack: Language : Python, C++, Julia (to be “re”-tested) Databases : Aurora, Redshift, ElasticSearch on AWS Librairies : Pandas, PyTorch, Tensorflow, Scikit-learn, SQLAlchemy,... Visualisation : PowerBI, Plotly, Seaborn, bokeh DevOps: Gitlab, Airflow, MLFlow, Docker Environment : We use Pycharm, VSCode, VIM and Jupyter but we’re open to anything on any OS!

Data Scientist Customer Analytics

Indigo

We are an international AgTech startup pioneering an ambitious mission in a high-growth industry where agriculture meets technology to solve our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced partner ecosystem that beneficially serves farmers, consumers, and the planet alike. Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. As a Data Scientist on our Customer Analytics team you will leverage your knowledge ofadvanced analytics of customer data, as well as your experience writing scalable code to enhance our understanding of Indigo clientele. Collaborating closely with business stakeholders, and other Data Scientists and Engineers, you will help the team apply cutting edge statistical methods to complex problems and large datasets, ultimately owning your own production models. This is a unique opportunity to play an integral role on a close-knit team that is dedicated to solving complex and meaningful problems.   Responsibilities: Build a deep understanding of existing systems and data assets; contribute to  components of in-flight analyses and models Partner with business stakeholders to understand their pain-points, identify and  resolve ambiguities, and address those pain-points using data-driven solutions, as  appropriate Take ownership of discrete analyses, delivering on challenging deadlines Independently plan and execute modifications and improvements to existing  customer analytics predictive models, leading to measurable improvements in  results Collaborate with Engineering on scaling/productionizing your work Serve as an ambassador for the customer-centric data products and insights  being produced by the Customer Analytics group     Competencies: Comfortable working with messy datasets and in an environment with complex  and evolving data systems Strong coding skills, able to contribute to team codebase; write well-documented,  clean, maintainable code in a collaborative environment Strong communication skills: ability to translate results of complex analyses into  interpretable results, both visually and verbally Strong people skills: ability to understand other’s perspectives and collaborate  with empathy Ability to translate theoretical principles learned in an academic setting into a  professional setting Proactive and confident in voicing business ideas Thrives in a fast-paced, growth environment Hunger to learn   Qualifications: 2+ years relevant experience working in industry Masters or PhD degree with a quantitative focus preferred Fluent in Python (R also a plus) Experience with git or a similar version control software Fluent in PostgreSQL Practical experience building predictive models Familiarity with CRM systems preferred Experience working in AWS  environment preferred Experience working in an Agile software and/or product development  environment preferred Familiarity with geospatial data preferred   Benefits: Health, dental, and vision insurance for you and your family Generous time off Parental leave A remote-first organization with flexible work hours Commuter benefits 401(k) plan Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

Data Scientist Ii

Civis Analytics

What we do Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data with integrated open source tools. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.  Learn more about Civis at www.civisanalytics.com. All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles. Responsibilities Helping to design, build, document, evaluate, and maintain statistical models and related data pipelines Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer  to develop data science products Following best practices with respect to engineering standards, including data privacy and security Minimum Qualifications A Master’s/Ph.D. in a quantitative field, or equivalent work experience in data science, statistics, or machine learning Work experience related to data science, statistics, or machine learning. This could include research work in a PhD program. Familiarity and willingness to work with the Python and R programming languages US work authorization Preferred Qualifications Extensive experience with any of the following: Machine learning engineering (e.g., developing and maintaining models in production) Survey analysis methods (e.g., survey weighting) or causal inference methods Political data or government data (e.g., Census Bureau data) Extensive experience developing software in Python and R Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.  We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? The opportunity to be part of a growing tech organization focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.  Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
 To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected]. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency

Applied Data Science Lead Media Insights

Civis Analytics

What we do At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.  Learn more about Civis at www.civisanalytics.com. All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles. Job Description We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.  The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions. ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company. Responsibilities Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology. Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals. Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission Manage and mentor teams of data scientists Some limited travel required (typically <10%) Minimum Qualifications Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.) A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges Experience managing teams to complete products within scope and on time Proficiency in SQL and/or statistical packages (R, Python, STATA, etc) Excellent interpersonal and communication skills Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment Preferred Qualifications Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus Familiarity with machine learning, and causal inference a plus Experience working for a consulting, services, or advisory firm Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.  We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.  Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
 To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected]. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency

Data Scientist Contract

Civis Analytics

What we do At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data with integrated open source tools. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.  Learn more about Civis at www.civisanalytics.com. All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles. What we are looking for Civis collects millions of survey responses every year for message testing, brand tracking, political forecasting, and much more. As a Data Scientist on the Surveys Team,  you will be responsible for the data science needed to turn survey data into insights. You will be responsible for developing production tools to clean, weight, and analyze survey data. You will also develop and maintain novel reference data sets for survey weighting. You will be working as part of a cross-functional team of data scientists and engineers to implement data science methods as production tools that will be used by teams across Civis. You will support our Applied Data Science team to ensure that our survey methods are effective across political, public sector, advocacy, and commercial domains. A successful candidate will be able to work independently and in close collaboration with other data scientists and engineers. The role requires a person who can think critically about the technical and methodological implications of their work, and is enthusiastic about building tools to enable data scientists and research managers. Note: This opportunity is a temporary, full-time, salaried position with benefits lasting one year. Responsibilities Develop and maintain survey infrastructure in a cross-functional team of data scientists and engineers Productionize novel and off the shelf data science models using Civis Platform Provide support to internal users and act as a subject matter expert in statistical methods relevant to survey analysis Validate our weighting and analysis methods using known sources of truth and simulation studies Research and prototype novel approaches for survey weighting, forecasting, and causal inference Identify possible new data sources for survey weighting, and automate refreshes of existing data Contribute to knowledge sharing and training across the company Minimum Qualifications Knowledge of Python or R and willingness to work with both languages Preferred Qualifications Master’s or Ph.D. in a quantitative field  Prior work experience or internships related to data science, statistics, or machine learning Experience writing software tools for use by others Experience communicating about technical topics to a non-technical audience Academic or industry research experience experience in at least one of the following: working with survey data (e.g., survey weighting), causal inference, machine learning engineering (e.g., developing and maintaining models in production) or data engineering Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.  We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? The opportunity to be part of a growing tech organization focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.  Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
 To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected]. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency

Vp Data Science

Keeptruckin

About the Role:  We are seeking a VP, Data Science to lead a team of Data Scientists and Strategic Analysts. This role has responsibilities across the business -  from building core product capabilities using cutting edge machine learning techniques, to working closely with our customers to help them optimize their business to partnering closely with our executive team on making key strategic decisions. What You’ll Do:  Lead and manage a team of 25+ people both in the US and internationally Solve complex industrial problems using advanced ML, DL, AI, and mathematical modeling and optimization techniques with involvement in the whole cycle of data science tasks. Work with engineering to build scalable solutions that are deeply integrated into every aspect of our product suite. Work closely with the executive leadership team to inform company strategy and drive a data driven decision making culture across the organization. Meet with and work with customers on understanding their most complex problems and identifying solutions using the rich data that our systems collect. Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities What We’re Looking For:  12+ years of combined industry and post-graduate academic experience in a quantitative field and a proven ability to apply scientific methods to solve real-world problems 5+ years of leadership experience managing a team of 15+ data scientists and product analysts across multiple locations at a technology company. Experience in leading an organization with managers, ICs, and technical leads. 5+ years working in SaaS 5+ years of experience in M/L Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.  Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records. Please review our Candidate Privacy Notice here.

Senior Data Scientist Product Analytics

Vsco

You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own. VSCO is looking for a Senior Data Scientist to take our data practice to the next level. You will work with our Director of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion. The day-to-day Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis Build scalable reporting and visualizations to help teams measure product and business performance Help grow the data science team Qualifications Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience 4+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce) Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis Expert in communication, with a consistent track record of partnering across various teams and disciplines Nice to have Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark Experience working with subscription-based mobile applications A deep appreciation for photography and the visual arts About VSCO VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.   Job Perks Equity, health, vision, and dental insurance for families, and flexible vacation policy.    Why VSCO?   Creative Freedom We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.   The Working Life At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.   It Won’t Be Boring Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.   Interested in this position? Tell us why you want to work at VSCO and what we should know about you.   VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.   #LI-Remote

Data Scientist Applied Machine Learning

Hudl

We believe each moment in sports can change the plan, change the game and change lives. That’s why our mission is to build the world’s most powerful network of sports video and data to empower teams to make every moment count. How? By hiring people around the world who want to help us support coaches, players, analysts, recruiters, teams, clubs and fans. Hudl customers use our products to capture video, analyze data, share highlights and a lot more. They stay ahead of the game with the latest technology and we help them achieve their goals. Want to join us? We’re looking for a Data Scientist to join our team and work to improve Hudl products by integrating them with machine learning. You will be part of a team currently focused on optimizing video tagging workflows by leveraging data generated from machine learning algorithms. You’ll build both interfaces, intermediary algorithms and evolve current algorithms that transform raw ML output into measurable workflow improvements for users. There will also be opportunities to get more involved with the existing low level computer vision algorithms and also develop new models from the ground up. You are A data scientist who likes to build products. You have 1+ years of experience in a data science role. You enjoy building algorithms that will be used to improve a user’s experience. Software engineering isn’t your primary skill, but if needed you’re comfortable enough with coding to make small changes in various parts of an application. Interested in digging into data to solve problems. Systems and processes don’t always work as expected, we need to evaluate data to make sure everything is operating as intended and has the effects we desire. Flexible and excited to learn totally new domains and technologies. Your team will do whatever it takes to get an algorithm into production, which often means having to make small updates to other systems or adjust requirements as we go. You see the opportunity in this and are ready to learn something new. Willing to maintain and support a production system. Hudl’s Applied Machine Learning (AML) Team is looking to ship real updates that have an impact directly on the company’s bottom line. By doing so, we’re responsible for what’s released and need to take care of it. Someone who enjoys iterating from prototypes to production systems. It’s not always clear what the best implementation will be and we’ll have a lot of ideas that need to be evaluated. You know how to balance quick iteration with production quality updates, when requirements need to be adjusted, and when to push for more or less time on an experiment. You Will Build algorithms and services that generate data and have an impact on the final product. You’ll do so using a variety of technologies including Python and Docker. Optimize Hudl’s processes with a data-driven approach. For example, optimizing tagging workflows via new interfaces, steps, or features. Learn how to build algorithms that directly solve real-world problems Collaborate with multiple product teams and users.  Have an impact directly on your users by integrating machine learning into their workflows to make their work more efficient and enjoyable.  We Will Teach you. You’ll be ramped up on the various technologies and domains that AML uses, when applicable. This includes AWS infrastructure, machine learning, Python utilities, web applications and more! Challenge you. We’re breaking new ground on how machine learning can be applied to products. The problems are not solved and patterns are not set. You’ll have the opportunity to establish these standards, processes, and approaches for yourself with the help of your team. Support you. We’re committed to building solutions for each other in addition to our stakeholders. Our team members make time to help, advise, and remove roadblocks, with regular collaboration across groups.  Include you. We’ll invite you to all our AML game days and let you in on all our fantastic inside jokes. Diversity at Hudl  Hudl is an equal opportunity employer. We understand the power of a diverse team, celebrate differences and promote inclusion. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you. Privacy Policy  https://www.hudl.com/jobs/hudl-applicant-and-candidate-privacy-policy    

Senior Data Scientist Modeler Cyber Risk Analytics Us Remote Option

Guidewire

Ready for a new challenge? Join Guidewire as a Senior Data Modeler! Guidewire’s Cyence Risk Analytics products help the property & casualty (P&C) industry to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence Risk Analytics provides insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products. Who We Are, What We Believe, & What We Build Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done. Who You Are: Your responsibilities as a modeler will include: Developing and implementing methodologies to quantify the impact of cyber security risk, as well as other emerging risks affecting the P&C industry Exploring different data sources to come up with features and assumptions to enhance our set of risk models Calibrating, testing and validating different types of models in the insurance space Integrating modeling processes in our production pipeline to feed our platform Communicating technical details related to the models and their outputs to individuals from various backgrounds Working together with cyber analysts, data engineers, modelers, and product managers  What we are looking for: Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics) 6+ years of solid statistics and predictive modeling foundations Experience in data analysis, feature engineering, data visualization and hypotheses testing Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information) Experience in implementing parametric and non-parametric models in a production-level environment High level proficiency in Python or R, and SQL Good written and verbal communication skills Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way A positive attitude, and a growth mindset Bonus: Insurance, actuarial modeling or financial modeling experience General understanding of computer network and cybersecurity Experience with Cloud infrastructure (e.g. AWS), and open source data processing frameworks (e.g. Hadoop, Spark, Mongo and Cassandra) #LI-Remote About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position. Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

Implementation Data Scientist Uk

Altana

The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to: Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points Oversee the specification and development of new or expanded solutions Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each  Work closely with Solutions Managers to integrate feedback from internal and external customers. Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.) This position can be worked remotely, but you should be comfortable working on London time. About You 3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects) 1-2 years technical experience in analytics, data science, software engineering or a similar technology related field Exposure to trade compliance, supply chain management or a field similarly related to international commerce Experience with machine learning Record of ownership and delivery of projects with major organizational impact Strong written and verbal communication skills Nice to have, but not required Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe) Working knowledge of cloud services like AWS, Azure, or GCP Technologies we love Languages: Python, Spark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB

Senior Data Scientist Causal Inference

Discord

You will: Partner with Data Scientists and Growth PMs to understand our key business questions and map our causal inference needs. Develop, deploy and socialize frameworks for causal inference in AB testing, Quasi Experiments, and no experiments environments. Champion experiment design (including A?B, Geo, Social Graph) and partner with Data Platform on how we should revamp our experimentation platform. Deliver complex analyses that require causal inference methods to be addressed rigorously. Conduct literature reviews, socialize and deploy best statistical practices for Causal Inference across Discord, Experimentation, and Data science.  Train and empower our Data Science personnel to use more rigorous causal inference methods.  You have (not hard qualifications - if you're not sure, please apply!): PhD in a quantitative field and 4+ years of experience in experimentation / causal inference or related field. Track record in using causal inference methods that translated into business decisions and outcomes. Experience in autonomously leading cross functional projects and influencing cross functional partners. Proficient with Python / R, SQL, and other statistical programming languages.  Bonus Points Passion for Discord or online communities.  Experience with experimentation for social media or international subscription-based online services. Experience with driving changes in experimentation platforms.  Causal inference related publications.   Benefits and Perks Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Senior Data Scientist Analytics Product Marketing

Discord

What you'll be doing Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly Collaborate with data and engineering teams to design scalable and future-proof instrumentation  You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!) 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations   3+ years experience writing excellent SQL Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways  2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord  Last but not least - a collaborative attitude and a healthy dose of natural curiosity!  Bonus Points Passion for Discord or online communities Experience collaborating with marketing or sales Experience with writing production ETL  Experience with technical leadership, being the point person for one or more stakeholder groups Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc Experience writing performant code in BigQuery SQL  Benefits and Perks Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Data Scientist Analytics Product Marketing

Discord

What you'll be doing Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly Collaborate with data and engineering teams to design scalable and future-proof instrumentation  You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!) 2+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics 2+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations   2+ years experience writing excellent SQL Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways  2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord  Last but not least - a collaborative attitude and a healthy dose of natural curiosity!  Bonus Points Passion for Discord or online communities Experience collaborating with marketing or sales Experience with writing production ETL  Experience with technical leadership, being the point person for one or more stakeholder groups Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc Experience writing performant code in BigQuery SQL  Benefits and Perks Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Data Science Manager

Discord

You Will: Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company Create novel and interpretable metrics to provide insight into the health of the Discord app and use analytics, modeling, and experimentation to understand their impact on business goals  Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to improve the effectiveness of our marketing efforts  Own the vision and roadmap for a Data Science team, supporting a key pillar of Discord's mission  Build and mentor a world-class analytics team, expanding the impact of data at Discord  In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord! You Have (not hard qualifications - if you're not sure, please apply!): 3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation  Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways 6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems  Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis Familiarity with A/B testing principles  A collaborative attitude and natural curiosity  Bonus Points: Experience with social media or within digital consumer products Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance Experience with very large data sets and distributed computing Familiarity with Airflow, GCP, BigQuery Experience partnering with business teams in a data-driven culture Passion for Discord or online communities  Our Benefits: Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Data Science Manager Premium Products

Discord

You Will: Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company Create novel and interpretable metrics to provide insight into the health of the portfolio of premium features and subscription business, using analytics, modeling, and experimentation to understand the impact of new features and interventions on the user experience.  Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to grow adoption and retention of premium features Own the roadmap for the Nitro and Boosting Data Science team, supporting a key pillar of Discord's mission  Mentor and grow a world-class Data Science team, expanding hte impact of data at Discord Partner with Revenue leadership on strategic planning and continuously improve the Data Science organization while upholding our workplace philosophy  You Have (not hard qualifications - if you're not sure, please apply!): 3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation.  Experience hiring and mentoring staff with varying tenures and technical proficiencies Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways Experience collaborating across dynamic cross-functional organizations, managing competing stakeholder expectations and driving alignment  6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems  Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis Familiarity with A/B testing principles  A collaborative attitude and natural curiosity  Bonus Points: Experience with social media and/or safety aspects within digital consumer products Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance Experience with very large data sets and distributed computing Familiarity with BigQuery Experience partnering with business teams in a data-driven culture Passion for Discord or online communities  Our Benefits: Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Senior Data Scientist Machine Learning Growth

Discord

You will: Deliver Machine learning products that are highly adopted and drive strategic impact for our Growth partners. Examples: LTV modeling, User segmentation and Lifecycle modeling Ideate, communicate, and partner directly with product and engineering teams to improve decision-making at scale  Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, their journey, and our product Learn, socialize and deploy best Machine Learning practices across Discord, Experimentation and Data Science You have: Deep technical expertise in Machine Learning fundamentals, Applied Machine Learning, and Statistical Modeling 4+ years of experience applying Machine Learning and statistical knowledge to solve ambiguous business problems  3+ years of experience writing excellent Python or R Proficiency in SQL  Other requirements (you don't need all of these to apply!): Experience with technical leadership, being the point person for one or more stakeholder groups Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord Last but not least - a collaborative attitude and a healthy dose of natural curiosity!  Bonus Points Experience in the design and analysis of A/B tests in a fast-paced environment at scale Passion for Discord or online communities Experience with social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV modeling, user segmentation, etc  Experience using a BI visualization tool like Tableau or Looker to surface model results, monitor performance, etc  Our Benefits: Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Data Science Manager Growth

Discord

You Will: Manage and mentor a mission-driven, world-class team of Analytics Data Scientists, expanding the impact of Data teams at Discord Own the vision and roadmap of a data-driven decision-making for a key Growth pillar Partner closely with product and engineering to proactively identify opportunities for improvement, and shape our Growth strategy and roadmap Develop novel and interpretable metrics to provide insight into Discord's growth by using analytics and experimentation Develop and guide Data Scientists to use robust analytical frameworks for strategic analyses Build robust scalable tools to empower decision-making at all levels of the company Drive fierce prioritization to make sure we're working on high impact analyses that best use our time and unique strengths In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord  You Have (not hard qualifications - if you're not sure, please apply!): 3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI, analytics, and A/B experimentation Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways Proficient in Python/R or SQL (any dialect) for hands-on analysis Bonus Points: Experience with social media or within digital consumer products Experience with very large data sets and distributed computing Familiarity with how to use Machine Learning models to inform decision making at scale Familiarity with BigQuery Experience partnering with business teams in a data-driven culture Passion for Discord or online communities  Our Benefits: Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off Paid parental leave (plus fertility, adoption and other family planning benefits) Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote) Flexible long-term work options (remote and hybrid) A diverse slate of Employee Resource Groups Plus commuter contributions and other perks for office-based employees  About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us! #LI-GB1 Apply Now

Data Scientist

Transfix

About Transfix: Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology. Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry. By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.  The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.  About the Role: We are seeking a Data Scientist to join and play a critical role in our growing and evolving Data function. In this position, you will implement machine learning models into critical business processes, forecast industry trends, and build data pipelines. You’ll utilize your expertise querying databases, programming, and experience with machine learning and advanced statistical techniques to solve high-priority problems and generate strategic insight for stakeholders. The Data Science team has an ambitious roadmap and we’re looking for someone to elevate the team by upgrading current models and building new ones. If you have experience building models that have been deployed to solve business problems, love manipulating data, and are looking to grow as a data scientist in a fast paced environment, then this role could be for you! What You’ll Do In this Role: Build and upgrade models related to improving our ability to price effectively in the freight auction marketplace Utilize industry data and key indicators to build forecasting models that predict freight market price changes Collaborate with and provide analytic and machine learning support for key teams across the organization (such as Sales and Operations) Query databases and utilize programming languages (such as Python or R) to constantly improve our modeling capabilities and continuously look for ways to add value to the business Partner with the larger data team on data-driven analysis, key insights, and reports on KPIs How You Know this Role is For You: You have a Bachelors and/or Masters degree in Statistics, Mathematics, Computer Science or another quantitative field You have 3+ years of experience manipulating data sets and building statistical models You have working experience building models that have been deployed to production and have added tangible value to a business You have extensive programming experience in a language such as Python or R You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting   You're looking to grow your career in Data Science! You’re intellectually curious, have a bias for action, show humility and pragmatism, are detail oriented and an outstanding communicator  Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to): -Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and protect to prevent inequalities  -Building relationships among our employees, customers, and supporters that are reflective of our community -Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership -Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity -Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages. To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.

Economist

Transfix

About Transfix: Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology. Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry. By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.  The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.  As we continue to solve some of the world's biggest problems through data, analytics, automation, and technology, we are seeking an Economist to join and play a critical role in our growing and quickly evolving Data function. In this position, you will lead our efforts to quantify key business drivers, developing data models to successfully improve our market penetration and impact. You’ll develop and deploy data models that assess our current win rates and margins and create innovative solutions to improve our opportunities in the contract and spot freight markets. This role will provide a tremendous opportunity to have a widespread impact on our organization and provide increased analytical and technical thought-leadership to Transfix. If you’re an expert in economically-driven data analysis and synthesization who loves taking complex business problems and translating them into insights and then actionable solutions, keep on reading! What You’ll Do In this Role: Develop and deploy models that quantify key business drivers related to our brokerage business Quantify our win rate and margins related to our contract freight opportunities Thoroughly assess the business risk as it relates to our contract and spot freight opportunities  Understand the freight business inside and out and utilize mathematical equations to quantifiably improve our market positioning Provide outstanding analytical thought leadership and provide innovative solutions to complex business problems Improve our multisided platform by increasing the effectiveness of our demand matching models that allow us to match shippers and carriers Utilize your expert understanding of auction theory and understand how to leverage game theory to solve our conundrums How You Know this Role is For You: You have 5+ years experience as an Economist, Data Scientist, and/or have a PhD in a quantitative field You have a Masters degree or PhD in a quantitative field such as Statistics, or Economics You love analyzing data and everything about it - from identifying a business problem to prepping the data to building models to showcasing and explaining your findings You have extensive programming experience related to data structures and coding constructs You love translating business problems into equations and have a history of scoping, planning and establishing success metrics for analytical projects You have practical work experience with Risk or Econometric Modeling, application of Auction Theory or Market Demand estimation You have deep knowledge of and experience in writing SQL, R, Python, script writing and/or other similar tools You have utilized a Python Library such as Pandas, Numpy, or Scipy You are a data visualization expert that loves showing data via histograms, box plots and other unique and insightful views on the data You are curious, honest, intelligent and a deep critical thinker Our headquarters is based in New York City, and we are prioritizing candidates who are based in Eastern, Central, and Atlantic time zones. Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to): -Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and protect to prevent inequalities  -Building relationships among our employees, customers, and supporters that are reflective of our community -Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership -Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity -Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages. To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.

Senior Data Scientist Finance Data

Coinbase

Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role. Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money. We expect you to have a deep understanding of audit & compliance processes in finance data, and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way. What you’ll be doing (ie. job duties): Collect data from various systems and convert it into the source of truth for Financial and Compliance domains Dig into complex data sets and make sense out of them Translate functional and technical requirements into architecture and design Participate in code and design reviews to maintain our high development standards Measure business performance, develop core metrics and create dashboards to track and understand them Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions Work across multiple subject matter specialists to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team Lead analytics projects to completion Work with the broader Data team to find ways to scale our insights through better systems and automation What we look for in you (ie. job requirements): Proficiency with databases and SQL expertise Experience with large-scale data warehousing architecture and data modeling Expertise with data processing (ETL) technologies is required Experience in one programming language such as Java, Scala, or Python Strong analytical skills Aptitude to independently learn new technologies If need be, act as a Leader to drive big efforts with other data scientists Nice to haves: Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig Experience building high-quality end-to-end data solutions in an agile environment from requirements to production Be able to proactively handle prioritization of work and deliver work with great quality and influence the broader team in creating leverage Experience in mentoring junior team members technically Previous experience working with financial services data is a plus Knowledge of Finance Business processes and concepts Experience with Looker, Tableau or other business intelligence platforms (P29076) Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

Product Manager Data Science

Betterworks

Betterworks’ mission is to build solutions that motivate and delight employees. We are working with some of the world’s leading brands like Walmart and Intuit to disrupt talent management space with next generation talent and performance management solutions. BetterWorks is looking for an experienced Data Science Product Manager who can take our data and help build and productize models to contribute to our mission of helping people win at work. A PM at BetterWorks has “full stack” product responsibilities, working alongside our design, engineering, customer success and sales teams to build an incredible product.  We are looking for someone who can straddle the technical aspects of unlocking insights from data and solving problems with the user’s perspective in mind. This data is key to helping leaders in companies understand more about their people from an engagement, goals, feedback and performance perspective. What you’ll be responsible for: Research data science industry trends Identify opportunities where advanced analytics, artificial intelligence, and machine learning can create incremental value for Betterworks customers Understands how to setup MVP and differentiate what adds value as solution matures Develop a compelling Data Science vision across our product suite, and own a Data Science roadmap that is both ambitious and achievable. Prioritize work for the Data Science and Data Platform engineering teams based on industry trends, business mission and customer needs Manage and articulate a product backlog of ideas for the Data Platform and Data Science teams Understand pros and cons of using AI and how to deliver value through AI-based solutions Uses data-driven storytelling to communicate business value What we look for in a candidate: Knowledge in Data Science Complete understanding of data science principles. Understanding of machine learning, deep learning, and artificial intelligence. Understanding of quantitative concepts like statistical models and more. Knowledge of big data concepts. Engagement High level of self-engagement, project ownership and accountability, and drive to deliver outstanding outcomes as a team. Leadership and management skills are essential for collaborating with the Data Science engineering pod and managing multiple projects/products. Skills Good command of various statistical and analytical tools and software like Looker, Tableau, Excel and more. Bonus points: Skills in various programming and database languages like Python and SQL. Excellent research and analytical skills. Great interpersonal and communication skills, including communication with customers and industry experts. Problem-solving skills are crucial. Experience Bachelor’s or Master’s degree in either data science, data analytics, product management, or any related field.At least five years of experience in product management and data science. Bonus points: Experience in Enterprise SaaS growth-stage company a plus Perks at Betterworks: Work closely with a cross functional team of highly motivated and intelligent folks with a unique range of startup and enterprise experience Balanced Work / Life with unlimited Paid Time Off Vibrant company culture with frequent team building events Competitive salary with stock options About Us betterworks develops HR software to inspire and motivate modern workforces. Using the power of conversation, we help align work to goals, develop employees, and accelerate growth.  betterworks’ easy-to-use, integrated solutions the way people work, driving more 1-on-1 communication, more feedback, and recognition – uniting workforces around a shared purpose, so they’re driven to achieve great things together. The company is headquartered in Redwood City, CA, with an additional office in New York City, and is backed by Kleiner Perkins Caufield & Byers and Formation 8. betterworks has helped a variety of global organizations, including Walmart, Intuit, Vertiv and Schneider Electric to motivate their workforces toward collective achievement. Learn more about betterworks at betterworks.com

Staff Data Scientist

The Mom Project

Why you?  You are someone who brings your life experience to create products that truly make a difference in the lives of working parents. You use data to inform roadmaps, but you also know when you have enough information for action. You love the challenge of prioritizing user needs amongst multiple business objectives. You enjoy growing from diverse perspectives and coworkers while collaborating with others in a cross-functional team, and across departments. You are looking for something more from your job. Maybe a bigger problem to solve with both immediate and long term impact, or perhaps you just need a mission you can believe in every day. You are scrappy and collaborative while looking to join an inclusive and supportive culture with a bias for action. You dig a balanced startup life and can wrestle challenges with grace. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic, and connected. If this sounds like you, we'd like to talk. Why us?  The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago & Cincinnati. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams. The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $200M in earning potential by connecting our 500,000+ moms and mom-supporters with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started! Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other. Our commitment to Diversity, Equity, & Inclusion across race, gender, age, religion, identity, and experience drives us and our mission forward every day. We strive towards inclusion and that means everyone is comfortable bringing their authentic and best self to work every day. About the Role: We’re looking for a Staff Data Scientist to join our team of 3! The data science team was fully established earlier in summer 2021 so we are still doing a lot of foundational work. Currently, our two main projects are matching job seekers with jobs and predicting if a job applicant will be interviewed. We’re looking for our newest team member to establish our initial Natural Language Processing (NLP) models, starting with the use case of extracting information from job descriptions. We’re looking for someone who will start simple and then build up to more complex models. Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros. What you’ll do:  Own data science projects from conception to production Work with product managers and engineers to scope out requirements for a project Contribute to team’s knowledge and help us come up with the best processes for our team Mentor other data scientists Advocate for best data practices including thinking about what data we should be collecting Develop tools to monitor our models and ensure their performance doesn’t degrade Work with director to guide decisions about the infrastructure our team should use Collaborate with the director to find other opportunities for DS projects Evangelize data science throughout the company Recruit additional data scientists to our team About you: You have been the technical leader of a data science team before You can quickly pick up new techniques in supervised and unsupervised learning You apply industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You’re excited about joining a relatively new team and helping us develop best team practices You like working in a startup environment; part of your job will include helping to set up the infrastructure needed for data science You like working collaboratively with other folks including data scientists, engineers, and product managers You like sharing knowledge via mentoring, code reviews, and other avenues You care about ensuring that the algorithms you build are not biased against specific groups of people You enjoy working with a team of goofy people who do things like name all of their projects after candy [Optional] you ideally have experience with NLP models or other deep learning methods Why you’ll love working for TMP: Compensation & Benefits: Base Compensation Full medical, dental, vision  Short and Long Term Disability Generous Paid Parental Leave  Family planning benefits through Progyny Generous PTO  401K match Let me see those Perks, Perks, Perks! An incredible remote team that will support and champion your work Health and Wellness stipend Learning and Development stipend  Work From Home Stipend PAY RANGE We have different pay bands for different geographies in the US: CHI/AUSTIN/ATL/PORT: $190,000 - $210,000 SEA/BOS/LA/DC: $210,000 - $230,000 SF/NY: $220,000 - $240,000 We're just getting started. Join us in building the future of work.

Data Scientist Sr

Pnc

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. As a(n) Data Scientist Sr (Python) within PNC's Intelligent Automation organization, you will be based anywhere PNC has a footprint. We are seeking a Data Scientist in the Decision Automation Team under Intelligent Automation. This team works with different lines of business in the bank to catalyze strategic machine learning opportunities. As an internal consulting function, projects change year to year. In this role, you will develop machine learning models to support PNC’s data science strategy. The role requires combination of problem-solving, quantitative analysis, and technical acumen. You will also need strong communication skills in order to share complex analytical results with non-technical audiences. A key aspect of the role is to partner closely with business leads to understand current processes and how modeling confers benefits. In delivering machine learning models, you will be at the cutting edge of bank technology. All the while, you'll benefit from access to senior professionals within the field in a friendly, open, and engaging environment. • Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.• Participates in the data gathering, data processing and data mining of large and complex datasets.• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.• Assists in the presentation of business insights to management.• Partner with Business Leads, Data Architects, Data Engineers and Machine Learning Engineers to develop data-driven solutions for the business. Competencies / Skills• Programming Skills: Python or R, PySpark• Data Mining: Knowledge of tools (SQL, Pandas) and techniques to manipulate and wrangle data for modeling.• Machine Learning: Knowledge of principles, techniques, and algorithms such as linear/logistic regression, classification, clustering, and natural language processing. • Prototyping: Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.• Disruptive Innovation: Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.• Communication and Storytelling: Ability to communicate and contextualize insights to non-technical audience in a easy to understand and compelling manner. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Competencies Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system. Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered. Education Masters Additional Job Description 1. COMPENSATIONBase Salary: $65,000 to $187,450Where a person is paid in the compensation range is aligned to their experience and skills. Placement within the compensation range is based on the specific role and the following factors: – Lower in range –Building skills and experience in the job– Within the range–Experience and skills align with proficiency in the role– Higher in range –Experience and skills add value above typical requirements of the role– Compensation Range may vary based on Geographic Location  2. INCENTIVE Role is incentive eligible with the payment based upon company, business and individual performance. Benefits PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC. Disability Accommodations Statement: The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at [email protected]. The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET. Equal Employment Opportunity (EEO): PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Quantitative Data Scientist

Everyday Labs

About EveryDay Labs EveryDay Labs is a high-growth, VC-backed EdTech startup improving student outcomes at scale. By uniting behavioral science, data science, and family engagement, EveryDay Labs reduces the student attendance gap by providing school districts with data-driven, personalized interventions proven to reduce chronic absenteeism by 10-15% and mobilize families in support of the district’s strategic priorities. In over 1,500 schools across the US, we have already prevented over 1,000,000 absences, increasing instructional time for students by over 300 million minutes. Every day we strive to live our values: Student-Centered at Scale, Stronger Together, Behavioral Science at the Core, Innovation Grounded by Evidence and Research, and Fearless about Learning. About the RoleAs our Senior Quantitative Data Analyst at EveryDay Labs, your work will immediately improve student outcomes by helping districts across the country to reduce absenteeism and increase learning time for students who need it most. EveryDay Labs brings a uniquely rigorous research, design, and evaluation process to edtech, executing more randomized controlled trials (RCTs) than most other education companies in the country. Your role will be central to this process, with responsibility for executing our ambitious learning agenda and evaluating outcomes. Your primary responsibilities will include: designing and executing RCTs to evaluate and improve the outcomes of our interventions, performing impact analysis and drafting program evaluations for our programs, designing, executing and analyzing survey research, working with our Data Engineers to standardize and automate parts of the impact analysis process in Python, performing ad hoc analysis to better understand attendance patterns and surface actionable insights, and supporting the data team’s work in executing our programs as needed. As an early member of our Engineering & Data Science team at EveryDay Labs, you will work across a variety of projects, products, and services. Must have: Demonstrated experience designing, implementing, and managing impact evaluations, randomized controlled trials (RCTS), field experiments, and/or quantitative research in real-world settingsDemonstrated experience in quantitative analysis including cleaning, managing, manipulating, visualizing, and analyzing large data setsAn understanding of experimental methods and survey designPrior work experience in monitoring and program evaluationExperience with (or education in) statistics and/or econometricsStrong written and oral communication skillsStrong attention to detail Proficiency with statistical software (R or Stata) Nice to have: Understanding of behavioral scienceExperience designing behavioral interventionsProficiency using Python or an openness to learning PythonExperience working with education dataGraduate degree in Public Policy, Economics, Statistics, or Quantitative Social Science EveryDay Labs is an Equal Opportunity Employer - including disability/vet status. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are actively seeking to build a team and workplace that reflect the diversity of the communities we serve. We especially encourage people underrepresented in the tech industry to apply, and welcome your application even if you do not meet every one of the above requirements.We are a remote-only team, candidates must be fully, legally eligible to work in the United States (visa sponsorship is not available). All candidates must reside in the United States.

Director Data Science Territory Modeling

Liberty Mutual

Description & Responsibilities Qualifications Featured Benefits Why Liberty Mutual? The Product Design and Modeling organization within Global Retail Markets is hiring a front-line manager for its Complex Components group to lead the Territory Modeling team.  The Complex Components group develops sophisticated models that are used as input, or as complement, to our core pricing programs. This manager will report directly to the head of Complex Components and be tasked with managing a team of Data Scientists towards our broader goal of creating and implementing the greatest territory factors the world has ever seen.  The ideal candidate would be someone who is resilient (undeterred in the face of failure), passionately driven to make things better, holds themselves to a high standard and wants to be surrounded by others who do the same. Manage a team of Data Scientists building territory models across Auto, Property, Business Lines, for the US and East/West markets. Research new geographic predictors and predictive algorithms to enhance pricing sophistication. Work with DSOs, Product Delivery, and East/West local teams to implement industry leading territorial pricing. Work with regulators to get territory pricing models approved in all our markets. Establish project plans, ensure quality deliverables within agreed upon timeframes, communicate results, and make recommendations to address issues. Collaborate with analytical peers and counterparts to stay on top of business trends and analytical best practice. Job Specifications: Reference: 2021-43094 Category: Data Science Primary Location: Remote Additional Locations: Boston, MA; Seattle, WA; Schedule: Full-Time Salary: USD-$144,700.00-–-$204,900.00-/-Year Education Level: Travel: As Needed

Director Data Science

Liberty Mutual

Description & Responsibilities Qualifications Featured Benefits Why Liberty Mutual? The Global Risk Solutions Advanced Analytics Hub is seeking an experienced data scientist to develop and deploy innovative and cutting-edge models that solve business problems in a variety of new business areas.  In this role, you will be the first hire on a new team responsible for expanding the AA Hub’s capabilities and reach in new areas like Distribution and Portfolio Management.  You will manage data science engagements from beginning to end — ideation with business partners to final system implementation.  Projects will vary in nature, complexity, location, and duration creating a dynamic environment with ample opportunities to learn, influence decisions, and solve complex business challenges. You will also be expected to help develop the teams’ modeling practices and toolsets for model development and deployment. Knowledge of insurance and Actuarial principles is a plus. Responsibilities Engage with business partners to understand problems/aspirations and develop innovative data science solutions that address business needs. Lead preparation of modeling data and other analysis. Conduct research and identify experts to develop robust understanding of the issue, available information, and best modeling approach. Provide technical expertise to set project direction, resolve issues encountered in modeling, and develop team members. Perform complex modeling. Present findings and make actionable business recommendations that influence decisions and/or customer satisfaction. Effectively communicate results in written, oral and presentation formats. Build effective relationships with business partners. Continually improve your technical skillset through research, collaboration, and other modes of learning. Participate in the broader DS/ML community to stay current with the latest techniques. Engage with staff within and beyond the predicative analytics team, training and advocating for the use of DS/ML techniques in other business areas.  Actively participate in peer review and quality checking processes. Help attract and develop top talent. Help create an inclusive, engaging, and collaborative team environment.  Job Specifications: Reference: 2021-40376 Category: Data Science Primary Location: Remote Additional Locations: Schedule: Full-Time Salary: USD-$128,200.00-–-$179.50-/-Year Education Level: Travel: As Needed

Experience Data Scientist Bring Your Voice

Amazon

DESCRIPTION Job summaryIf you love solving problems, truly enjoy collaboration and long to be a part of a team that lives and breathes employee experience… then read on. We’re delighted to be on the hunt for another excellent human to join our team as an Experience Data Scientist.The Experience Data Scientist is a member of our design team, contributing to every part of our process: research scoping, design, communication, framework development, stakeholder relationship development, and project management.We count on the data scientist to guide the team in how data should (or shouldn’t!) play a role in what we’re researching, provoke discussions about the experiments we can run, help design compelling data visualizations, and bring their expertise in telling a story through data and other algorithms.Key job responsibilities· Center your work on people. We go to work because we want to improve employees’ lives through research and design. You’ll talk with and work alongside the people our research affect, to develop a deep understanding of their needs and their context and develop solutions.· Experiment and iterate. Our work often requires quick iteration and experimentation. You’ll perform data analysis, create visualizations/simulations, and implement statistical/machine learning/optimization algorithms — learning new techniques and tools as necessary.· Navigate a variety of data sources. Such as interview data, qualitative data, badge data, workplace surveys, focus groups, and/or external data sources.· Collaborate with colleagues. We’re a passionate and creative community from a variety of backgrounds: communications, recruiting, HR, economics, psychology, legal, and more. You’ll learn from people from a uniquely broad variety of backgrounds and translate concepts between them.· Excellence in qualitative reasoning. You understand what data can and can’t tell us, can communicate that to others, and conceptually understand when to apply particular quantitative techniques.· Coding generalists. You are fluent at writing code to wrangle, analyze, and visualize data, as well as implementing algorithms in code (but don’t necessarily need to know about production software engineering).About the teamThe Employee Relations team is responsible for reducing risk to the business by deploying programs to empower the next generation of high-performing, employee-centric frontline leaders. Our programs are global in scale and we continually innovate to transform and improve the employee experience. BASIC QUALIFICATIONS · Bachelors degree· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)· 2 years working as a Data Scientist· Exceptional written and verbal communication skills. PREFERRED QUALIFICATIONS · Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least three years of working experience as a Data or Research Scientist.· Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.· Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.· Experience using Amazon technologies – Redshift, Sagemaker, Athena, S3, EC2, QuickSight, etc.· Skilled with Python, Java, C++, or other programming language, as well as SQL or similar scripting language.· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.The base pay range for this position in Colorado is $ 119,300 - 160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Senior Data Scientist

Amazon

DESCRIPTION Are you interested in taking the world’s most broadly adopted and comprehensive cloud platform and architecting and building solutions that will deliver consumer and retail like customer excellence to the recruiting and hiring process at AWS?About the teamThe AWS Talent Acquisition Product Development team is responsible for innovating, architecting, and building, global and scalable technology solutions that transform the recruiting and hiring experience. These solutions will be utilized by thousands of people inside and outside the organization. This team and the solutions we build are a critical component in AWS’s continued growth.A day in the lifeInnovation is at the center of this team. As a Senior Data Scientist you will work collaboratively with a global customer base, program managers, product managers, designers, and engineers to create, refine, and explore ways in which we can transform the recruiting and hiring process at AWS with chat and voice based solutions delivered to users in the flow of work. In this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Designers, Data Engineers, and Software Engineers to build new ML models to optimize customer experience for the consumption of data and market intelligence. You communicate ideas effectively, drive ideas to detailed product deliverables, and help establish success metrics to optimize results. BASIC QUALIFICATIONS · Bachelor's Degree in data science or related disciplines including but not limited to computer engineering/science, management information systems, informatics and analytics.· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)· Minimum 4 years working as a Data ScientistExperience with complex data sets and structured and unstructured human perception data, such as data collected on Likert scale via survey platform PREFERRED QUALIFICATIONS · Experience in machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)· Strong background in statistical methodology, applications to business problems, and/or big data.· Comfortable communicating with technical and non-technical audiences.· Able to work in a diverse team of scientists, product managers and program managersAbility to work on a diverse team or with a diverse range of coworkers

Data Scientist

Amazon

DESCRIPTION AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases.You will design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.Primary responsibilities for you in this role:· Research, design, implement and evaluate novel computer vision algorithms.· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutions· This position can have periods of up to 10% travel.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.We are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we are building an environment that celebrates knowledge sharing and mentorship.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we are happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.**If you have questions, wish to apply or refer someone contact Josh May directly - [email protected]**#US_WWPS_ProServ #US_WWPS_ProServ_DML BASIC QUALIFICATIONS · Master or PhD in computer vision/machine learning or related experience.· 3+ years of relevant experience in building production-scale system/algorithm in one of the following domains: computer vision, deep learning, or machine learning.· Coding skills in one or more programming languages such as Python, Scala, Java, C, C+· 2-3 years of modeling experience working with deep learning frameworks like Pytorch or MxNet.· Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)· Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc. PREFERRED QUALIFICATIONS · Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning.· Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver new solutions.· Experience extending object detection models to multi-object, multi-label tracking· Experience working with geospatial datasets (e.g. satellite imagery)· Experience working with motion imagery datasets (e.g. Full Motion Video/ FMV, Wide Area Motion Imagery/ WAMI)· Proven track record of innovation in creating novel algorithms and advancing the state of the art· Distributed training experience (DDP, Horovod)· Model compilation experience (TensorRT, TVM)· Familiarity deploying solutions to AWS or cloud services and experience with AWS services such as SageMaker is considered a plus· Familiarity deploying solutions to IoT/edge platforms (e.g. NVIDIA Jetson Xavier)· Experience in publishing at major computer science conferences or journals· Proven track record in technically leading and mentoring scientists· Strong written and verbal communication skills and ability to work effectively with a large, distributed team.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.#US_WWPS_ProServ #US_WWPS_ProServ_DML

Data Scientist Employee Relations

Amazon

DESCRIPTION Job summaryAmazon’s Employee Relations (ER) team is looking for a Data Scientist (DS) with a demonstrated passion for building innovative new analytics, models, tools and processes for our Employees and Leaders. Are you looking for an opportunity to build in a completely new space that will stretch you and force you to demonstrate your mastery of data science, data analytics, problem solving and enterprise wide deployments? This DS will lead new pioneering ideas from concept to reality and in this role—new bold ideas are always welcome. This DS will obsess over the Amazon employee experience and the employee voice across the organization. This DS will directly apply their knowledge to dig deep and help Amazon leaders gain actionable insights. Finding, prioritizing and resolving employee experience defects will be the mission every day. Thus, the challenge of this role is that it is never complete; we will always strive to push Amazon to be the Earth’s best employer.The Data Scientist will play a critical role in advancing our mission. You will join a tight-knit team of ER professionals, including HR, operational, program, product, tech and legal leaders. You will be supporting Amazon's World Wide Corporate, Consumer and Operations (WWCC & Ops) portfolio, and have direct impact on the daily work of over 1.3M+ Amazonians.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, dashboarding and predictive machine learning tools. We’re looking for an enthusiastic technical expert and storyteller to explore the world of Amazon data to generate insights—connecting employee experiences to decision makers in a compelling way backed by data. Your focus will cover all aspects of how we learn more about our employees, uncover problems that need to be solved, and validate the impact of our solutions. You will work with other thinkers, creators, and communicators to build the skills of the entire team to create a research-driven organization. You will invent, refine solutions from start to finish—data sets, queries, models, reports, dashboards, analyses—to answer business questions while ensuring we are meeting the needs of the business and team goals. You will draw on your knowledge of data science best practices, big data management fundamentals, and analysis principles to build solutions that enable effective, data-driven business decisions. You will learn the business context and technologies behind your team’s data infrastructure and work with customers (e.g., researchers, economists, data engineers, business intelligence engineers, product managers) and other internal partners to ensure deliverables are aligned with expectations.If you love getting to the “a-ha” moment, when the solution to a customer or employee problem reveals itself in the data— let’s talk!Key job responsibilities• Own the design, development, and maintenance of scalable solutions for analyses and models.• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)• Lead technical aspects of experiment design in collaboration with the greater ER team.• Find and create ways to measure the workforce experience at multiple levels in the organization.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches• Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management• Write queries and have in-depth knowledge of the data available in area of responsibility.• Troubleshoot operational data-quality issues and review/audit existing ETL jobs and queries.• Collaborate on developing effective Dashboards to surface insights to senior leadership• Communicate pros and cons of analytic frameworks to the development team• Uncover drivers, impacts, and key influences on productivity and innovation outcomes• Develop predictive and optimization models for key applications• Navigate a variety of data sources, such as open text comments, survey results and free text fields inputs• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes• Maintain an understanding of the latest trends in data science and machine learning• Recommend improvements to back-end data sources for increased accuracy and simplicity.About the teamThe Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the WWC & Ops organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are always changing and we continually innovate to transform and improve the employee experience. BASIC QUALIFICATIONS • 3+ years of industry experience in role(s) like: Data/Business Analyst, Data Engineer, Business Intelligence, Data Scientist, or equivalent.• 3+ years of data modeling, ETL management, and data warehousing experience.• Demonstrated proficiency with data querying with SQL• Demonstrated proficiency with data modeling techniques in R or Python• Knowledge and direct experience using and deploying business intelligence reporting tools. (Quicksights, Tableau, Microstrategy, Excel etc.) PREFERRED QUALIFICATIONS • Masters in computer science, mathematics, statistics, economics, or other quantitative fields.• Experience working with AWS big data technologies (Redshift, S3, EMR).• Experience with Stata, SAS, or Python.• Experience in data modeling, ETL development, and data warehousing.• Familiarity with statistical models and data mining algorithms.• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Machine Learning Scientist

Strong Analytics

Strong Analytics is seeking Machine Learning Scientists to help design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. ML Scientists are core contributors at Strong, with responsibilities such as building data analysis pipelines, designing/training/validating machine learning models and algorithms, and collaborating with colleagues and clients on state-of-the-art research. The ideal candidate is proficient in Python and/or R, SQL, and has prior experience working on ML solutions from concept to production. At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture. Responsibilities Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases Develop, train, and validate machine learning algorithms Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions Help create generalized solutions out of specific use cases Help identify areas of opportunity and improvement within projects Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time) We offer a comprehensive compensation package, including: Competitive salary 100%-covered Health insurance for employees, 75%-covered dependents Four weeks PTO 401(k) with employer contribution matching Personalized monthly perks with matched charitable donations A 100% remote work environment with highly protected work/life balance

Senior Data Scientist Risk

Dapper Labs

Senior Data Scientist, Risk Full-time | Dapper Labs | Remote | Data We're looking for a top-tier Senior Data Scientist to help us extract, manipulate, analyze, and interpret data. You’ll play a key role in growing a business through your insights, and you’ll help shape the way a revolutionary new technology is introduced to and adopted by new audiences. Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision. What we'll accomplish together: Explore, learn and grow Dapper Lab's capacity to mitigate risk in the exciting new world of blockchain and NFTs.Develop effective data approaches that improve user experience across all areas of our product, including customer onboarding, risk, and deliver insights to stakeholders.Analyze customer behaviors, rule effectiveness, risk strategies, fraud and money laundering patterns with the goal of building and refining automated risk rules.Able to identify red flags, suspicious activity, investigate patterns / typologies and work on appropriate solutions from our 'big data' warehouse and disparate external data sources.Work in a cross-functional team that overlaps product, marketing, engineering and Trust & Safety.Establish and maintain effective communication with internal and external stakeholders.Comfortable building relationships across organizations and articulating facts to a diverse audience. A little about you: Bachelor's degree OR Master's degree in a technical discipline with 5+ year track record of relevant experience.Professional experience leveraging heuristic methods and data science approaches (eg., predictive modeling) to solve problems.Crafty data wrangler with experience working with data engineers and cloud technology (GCP, AWS, Azure, or similar).Data storyteller with ability to present a compelling narrative surrounding data insights to non-technical stakeholders.Strong interpersonal and collaboration skills, advisory and communication experience.Proficiency in Python or R with solid coding skills + top notch mastery with SQL.Any blockchain, crypto, financial institution or payment industry experience would be an asset. More about Dapper Labs: Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet – the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use. Our mission at Dapper Labs is to make the world a more accessible and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading and notable investors including Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others. Dapper Labs’ current studio partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others. Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks. #LIremote Apply Now

Data Scientist Growth

Dapper Labs

Data Scientist, Growth Full-time | Dapper Labs | Remote | Data NBA Top Shot caught lightning in a bottle, bringing in over one million users to the blockchain in a matter of months. We’re looking for a Data Scientist to take our growth trajectory to the next level. We're looking for an experienced data leader who can bring a data-driven culture and expertise to Dapper Sports. The ideal candidate has worked in gaming, e-commerce, marketplaces, and other companies working with large sets of data and inputs. Location: Remote OK, working on Pacific Time and traveling to Vancouver when needed Jobs to be done: Build mathematical models and automated machine learning tools to analyze and optimize all aspects of Dapper Sports products, providing actionable insights in real-timeUnderstand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processesDesign and implement experiments to test various hypothesesInfluence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime valueResearch new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the teamWork with members of the Data Science team to deliver high-impact AI/ML products. More about Dapper Labs: Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet – the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use. Our mission at Dapper Labs is to make the world a more accessible and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading and notable investors including Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others. Dapper Labs’ current studio partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others. Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks. #LIremote Apply Now

Head Of Operations Analytics

Varsity Tutors

Varsity Tutors is looking for a Head of Operations Analytics with a background in Operations Research and Management Sciences. The vision of this team is to determine which Varsity Tutors consultant is best suited for each customer inquiry and ensure that we have sufficient consultants available to meet the demand across subjects and time of year.  We develop automation and algorithms that involve learning from large amounts of past data, including inquiries, sales, prices, promotions, in order to forecast the demand for our tutoring and classes, and use these forecasts to determine the level of investment in our marketing channels, workforce planning, and determining financial performance.  We are looking for a proven leader to help lead our Operations Analytics team as we deliver our Forecasting and Optimization platform. We're looking for a leader who combines exceptional technical and analytical capabilities to lead a team that will be integral to the continued business growth of the Sales and Consulting Organization. As the Head of Operations Analytics, you will be responsible for leading a team of analysts and data scientists in the design, development, testing, and partnering with engineering on the deployment of models.  You will have an opportunity to work on large mathematical problems and guide the team to solve linear and mixed-integer problems to find optimal solutions to build decisions given capacity constraints and the demand distributions. You will also drive process changes to support increasing automation and smarter optimization. You are an individual with outstanding analytical abilities, communication skills, and are comfortable working with technical teams and systems. You will be responsible for leading the team that does researching, experimenting, prototyping, and analyzing forecasting strategies. About Nerdy Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021. Key Responsibilities Lead the analytics team to deliver on the goals and roadmap for the Forecasting and Planning Org. Collaborate with the Engineering and the Sales teams to deliver the optimal solutions. Influence organization's long term roadmap and resourcing, introduce new technologies, and mentor a team of analysts. Basic Qualifications M.S in Operations Research, Industrial Engineering, Computer Science, Management Science or a related field with 2+ years of industry experience. 5+ years of work experience in areas such as data analytics, operations research, forecasting, machine learning and large scale simulation. Demonstrated use of modeling and optimization techniques tailored to meet business needs and proven achievements in industrial production systems. Proficiency in Python or other modern programming language 3+ years of direct people management experience including duties such as performance evaluation and career development. Varsity Tutors Leadership Competencies Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot Benefits/Culture Competitive Salary plus Equity in the company Healthcare Plans (Medical, Dental, Vision, Life) 401k Company Plan Remote Position, fully work from home (or wherever you like!) Flexible PTO plus a floating holiday Paid VTO ("volunteer time off" to do community service/charity work) 52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home program Once in a lifetime opportunity to help revolutionize how the world learns! Fun, collaborative, and team-oriented work environment with plenty of training and a feedback rich culture Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)

Senior Data Scientist International Analytics

Reddit

We are looking for a results-oriented and strategically minded Senior Data Scientist, Analytics to work with our International Growth team as Reddit expands its user base to India. How You’ll Have Impact: Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified India as a key market and need you to be a key player in exploring and understanding the key levers to drive growth. What You’ll Learn: As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how Indian users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for India users, as well as uncovering opportunities for new experiences that are optimized for worse internet connections. You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis What You’ll Do: Partner cross functionally with Eng and Product leads to help define and execute international growth’s India roadmap and initiatives Become the expert at understanding user behavior and long-term trends in India Generate data-driven insights that propose next steps in the strategic roadmap Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards Who You Might Be: 4-6 years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US Proficiency with relational database (e.g., SQL) Familiarity with statistical analysis and programming languages (e.g., R / Python) Results-oriented with a strong customer and business focus Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments. Ability to communicate and discuss complex topics with technical and non-technical audiences Ability to tackle ambiguous and undefined problems Previous experience with the India market preferred but not required

Senior Data Scientist Analytics Ecosystem

Reddit

The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you! How You’ll Have Impact: You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world.  What You’ll Learn: You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created You will work directly with senior leadership and every Data Science team embedded across the organization What You’ll Do: Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives Define KPIs and make them easily available through ETLs (extract/transform/load) and reporting dashboards Generate data-driven insights, analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality Establish yourself as a leader and mentor within the broader Data organization Who You Might Be: 4-6 years of experience in Data Science or Analytics function in a tech consumer company Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python) Experience writing ETLs  Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc) Experience with product metrics across different areas, including new metrics definition Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.  Experience working with senior cross-functional stakeholders (Director+) Bonus Points: Experience working with Finance and/or Corporate Strategy teams

Senior Data Scientist Dev Platform Analytics

Reddit

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here. We're looking for a Senior Data Scientist to lead Reddit’s emerging Developer Platform. This is a new team that focused on building external developer experiences like an app store for plugins (e.g. https://top.gg/)  and a playground for developers to test new features  (e.g. https://jsfiddle.net/). As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build first-class developer tools that Redditors will use to make their communities feel more connected online. How You’ll Have Impact: You’ll be the expert in ensuring we understand what users are doing on the platform and what bots & plugins are highly demanded by our users. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low-hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs. What You’ll Learn: You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s). What You’ll Do: In this role, we are looking for someone with a background in or deep familiarity with developer experience. Ideally, you have written enough code to understand what separates a great API from a deeply frustrating one. This particular role will focus on: Partner with Eng and Product to define and execute roadmap and initiatives Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards Communicate findings and co-design strategy with the most senior leaders in our organization Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities. Who You Might Be: We're looking for someone who thrives in this environment, who can be autonomous enough to always be moving forward, pragmatic enough to not get lost in the weeds, and ambitious enough to envision a Developer Platform enabling a richer, more connected Reddit ecosystem. Specifically, we’re looking for a data scientist with 4+ years of experience in Data Science or Analytics function in a tech consumer company  Proficiency with relational databases (e.g., SQL) Familiarity with statistical analysis and programming languages preferred (e.g., R / Python) Ability to tackle ambiguous and undefined problems.  Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc) Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments Ability to communicate and discuss complex topics with technical and non-technical audiences

Senior Data Scientist Product

Chownow

About Us: ChowNow is unique among tech startups in the restaurant space. We power branded online ordering systems for independent restaurants across North America – via websites, Google, Instagram, and through branded iOS and Android apps – and we do it all for a reasonable monthly fee regardless of order volume. We operate this way because of our belief in being fair, sustainable, and equitable with our restaurant partners. And the same goes for our workplace.  Diversity, teamwork, and mutual respect are among our core company values. And we pride ourselves on giving our teams plenty of opportunities to make their mark. To date we’ve created over 20,000 apps for our restaurant partners – something that’s never been done before in our category. And as we expand to new markets, further spreading the word about the ChowNow difference, those opportunities to create, build, and grow will only increase. If this sounds like the kind of workplace, and the kind of mission, that appeals to you, we’d love to talk.  Together we can preserve neighborhood flavor, one restaurant at a time. About the Position: As a member of the Team DnA (Data and Analytics), you will be responsible for developing rigorous data analyses to help inform and optimize decision making, processes, and strategies. You will define and operationalize the tracking of both company-wide and department-specific KPIs, identify patterns, and recommend actionable insights to improve how we build products and grow the business. In addition, you will partner with key functional teams and collaborate with the Data team to build a world class data platform, tools, insights, models, and experiments to power data-informed decisions, drive impact, and build the future of Data, Analytics, and Data Science at ChowNow. Reports to: Analytics & Data Science, Manager This is a remote position based in one of our employee hubs of Los Angeles, San Francisco, Austin, Atlanta, NYC, Kansas City, or Chicago. Occasional travel to one of our Hub offices may be required once travel restrictions are lifted. Within 30 days, you will: Progress through our Ramp Camp (ChowNow’s New Hire Onboarding Experience) Familiarize yourself with the company’s data warehouse and analytics tools Meet with key stakeholders and DnA team members to better understand our vision and opportunities to make an impact with data, analytics, and data science Within 3 months, you will: Define and analyze company and department-specific KPIs, and guide the related instrumentation and data collection Communicate results, insights, and recommendations to key decision makers Deliver your own data-driven research, assessment, and recommendations to an executive audience Partner with key stakeholders to identify opportunities to improve processes, and build systems and tools to enable scalable analysis, reporting, and data quality Within 6 months, you will: Identify, design, and execute on analytics projects aimed at finding the best solution to critical business problems Provide strategic data insights to help cross-functional leaders better understand and improve acquisition and success of restaurants and diners Effectively communicate learnings and provide recommendations to impactful and strategic decision making Build automated, scalable solutions to enable advanced exploratory and self-service analytics You Should Apply If: You are effective at collaborating with cross-functional teams and communicating with leadership across various departments You are able to articulate findings clearly and concisely, creating data-driven content and stories that directly provide strategic insight and business value You have experience working with Product and Engineering teams on feature experimentation, customer journey analytics, and quantitative research You have experience using Customer Data Platform (CDP) & Product Analytics tools such as mParticle, Segment, Amplitude, Heap, or Google Analytics  You have strong SQL skills and experience with relational databases such as Redshift or Snowflake You have strong programming/statistical analysis experience in Python and/or R You have an ability to surface insights through advanced data visualization using Mode Analytics, Tableau, Looker and/or other similar Business Intelligence tools About Our Benefits: Competitive Salary Ongoing training and growth opportunities. A "Best Place to Work" winner multiple times where we focus on creating a great employee experience. A remote-first culture and  up to $450  office equipment reimbursement to enable you to do your best work by setting up your home office.  Rock solid medical, dental, and vision plans. Mental Health Coverage - we offer several programs to support your mental health and wellness goals. 3 weeks paid vacation; paid holidays; we expect you to work hard, but still enjoy your personal life 7  weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave. 401(k) Matching Employer-contributing student loan assistance program. Commuter benefits (including Uber Pool). Employee Stock Incentive Plan. Pet insurance for your fur babies Quarterly Industry Speakers Series. Quarterly Tech Events (Women, LGBTQ, Diversity, Inclusion). Consistent & fair leadership: we’ll share info, set clear goals, show you respect, and treat everyone fairly. Enough freedom to spread your wings while still holding you accountable. Fully stocked kitchen and cold brew on tap in our satellite offices ChowNow takes the health and safety of our team seriously and requires all employees to be fully vaccinated for COVID-19 prior to starting work.   We strongly believe that this is the best way to protect our employees, families, clients, and communities. All requests for accommodations will be considered.   As one of ChowNow’s core values, “Celebrates Diversity”, we are committed to an inclusive and diverse work environment. ChowNow is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.  We are committed to developing a barrier-free recruitment process and work environment, if you require any accommodation, please email us at [email protected] and we’ll work with you to meet your accessibility needs.   Read here about your California privacy rights.   #Li-Remote

Data Scientist

Black Crow Ai

The company + vision. Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — Machine Learning (ML) predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.   Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions. It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.  6 months ago, we had one DTC brand using our predictions. Now we have over 150 — including Solo Stove, the RealReal, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.  The team + culture.  This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times. The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength. Black Crow AI is seeking an innovative Data Scientist to join as a charter member of our team. We’re taking off and expanding our top notch product team. You’ll have big, exciting responsibilities including developing new game-changing machine learning applications alongside our engineering and product teams, conducting product discovery with potential customers to inform the future potential use cases of our platform. We’re looking for someone with an entrepreneurial spirit, who isn’t afraid to get their hands dirty and dive in to both get things done, and make improvements. What you'll do Develop algorithms and predictive models to solve critical business problems Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of product experiments Manage work prioritization by asking the right questions Identify new areas of innovation Communicate brilliantly and develop strong relationships at all levels, internally and externally About you Degree in math, statistics, engineering, or computer science 5+ years of relevant experience as a Data Scientist or similar position. Experience in feature extraction/development, feature engineering and using data mining tools. Extensive experience solving analytical problems using quantitative approaches Familiarity with relational databases (SQL/PostgreSQL), as well as operational data tasks (ETL, business intelligence platforms) Experience in building machine learning/statistical models on large scale data with understanding of underlying ML Algorithms and ML life cycle. Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data. Experience with Apache Spark and cloud services like AWS is a plus. Strong passion for empirical research, good problem solving skills and organizational skills Detail-oriented and execution-focused approach. Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations  Self-motivated and flexible - with ability to work in fast paced, changing environment Insatiable curiosity and love of learning. More about us. + Virtual-first and welcome employees from anywhere + Unlimited paid time off + Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday Love your job. We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential.  Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.

Senior Data Scientist Tx

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Staff Data Scientist Nlp And Segmentation U S

Workmoney

Reporting to: VP of Data Science & Analytics Location: United States / remote, requires U.S. work authorization Compensation: Starts at $160K at Principal Data Scientist level; starts at $175K at Staff Data Scientist level Wanna use your data science skills for good? If so, then keep reading. About WorkMoney WorkMoney is a nonprofit organization dedicated to lowering costs and raising incomes for all Americans to make American life more affordable and American families more economically secure. We provide products, services, perks, benefits, tips, and tools to help members improve their financial lives. We are a trusted source of information about financial matters, economic policy, and public debates about the economy. We also activate and engage our members in advocacy campaigns to support policies and elected leaders to support our core vision that everyone in America can afford to live a good life. You can find out more about WorkMoney at workmoney.org and Facebook. What are we looking for? WorkMoney is looking for a Lead Data Scientist with hands-on experience in natural language processing to help transform our data into information. In the year ahead, WorkMoney will be tackling complex problems like identifying signs of financial crisis in text messages, building personas and segments based on text patterns and surfacing key themes and topics in comment collection. This role will lead the data team in the creation of sentiment analyzers, topic modeling, archetype building and more. Successful candidates will have experience with building production ready NLP projects, supervised and unsupervised learning techniques and at least one programming language for data science. We also need someone who can think big and creatively about using data science techniques to help us accomplish our core vision. As WorkMoney's data science "expert" in a startup environment, you may tackle many projects. We are open to individuals at various levels and encourage you to apply if you are interested in WorkMoney's mission and meet many of the core requirements. We are open to applicants with various levels of leadership experience for this role. Applicants with applicable experience above principal level will be considered at the Staff level.Core technical responsibilities: Work on mission oriented projects in support of Work Money's broader goals Write clean, concise and optimized code Leverage the latest NLP technologies to help interpret our text data and answer important organizational questions Build high quality machine learning models that contribute to the data team’s ongoing segmentation and personalization efforts Own all parts of the project lifecycle from data transformation and cleaning to model deployment Think big and creatively about the application of data science techniques in accomplishing WorkMoney’s goals Additional responsibilities at Staff level: Hire, Supervise, and support one or more analysts Provide informal mentorship and training to colleagues Act as a project, product, and personnel manager to move forward complex projects Explore new and creative ways to solve economic justice challenges using data and technology Core requirements for the role A desire to work in a mission oriented environment; alignment with WorkMoney's economic justice goals Experience building and deploying production NLP and machine learning models in a cloud environment (AWS preferred) Expert in Python or other data science programming language Fluency with NLP techniques like Topic Modeling, Named Entity Recognition, Sentiment Analysis and Information Extraction Excellent communication skills with technical & non-technical audiences alike Self-motivated problem solver with a knack for sniffing out data inaccuracies For consideration as a Staff level, applicants will meet some of the following requirements: Staff management experience and a desire to grow these skills Experience with project and/or product management in a flexible environment Vendor management and evaluation experience Extensive experience with advocacy, legislative or electoral campaign data science Salary for Principal level is $160,000Salary for Staff level starts at $175,000We utilize transparent and non-negotiable salary bands based on the role and responsibilities. WorkMoney offers generous healthcare, vacation and retirement benefits -- the kind ALL Americans should be able to have, and which we are proud to offer. Those include, but are not limited to: low deductible healthcare, dental, and vision plans at no cost to you, 401(K) retirement program with up to 6% employer match, four weeks paid vacation, annual work from home stipend, and unlimited sick time. Why join our team? We’re mission driven, hard working, and scrappy. We’re a true startup, offering a dynamic work environment where no day is the same and where innovation and rolling up your sleeves is the norm. WorkMoney’s team includes people with a wide-ranging set of backgrounds and expertise. And best of all, we’re a growing crew of collaborative colleagues who are generous, whip-smart, and authentic. WorkMoney is an equal opportunity employer. WorkMoney prohibits unlawful discrimination against any employee or applicant for employment based on age, color, disability, gender, marital status, national origin, religion, sexual orientation, expression, gender identity, veteran’s status, or any other basis prohibited by law. We strongly encourage applicants from historically under-represented communities and see diversity of all kinds as a tremendous asset to our work. To Apply Follow the link to the application page, complete the required fields, and submit a resume and address the following application questions: Why are you interested in this job? What makes you want to work at a fast paced social impact startup at this time in your career? How do you like to learn new technical skills?

Embedded Data Scientist Evangelist

Gusto

About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. We have an unusual, yet exciting, role in our Forecasting & Analytics (F&A) team within Revenue Operations (RevOps) which is a hot-topic area within growth businesses with direct and sales-assisted motions. Our analysts are spreadsheet wizards who are also hands-on with SQL and Redash reports. They are highly reactive to ad-hoc data needs of a variety of stakeholders with daily and weekly reporting motions. We are embracing DataOps practices, including the adoption of tools like DBT to bring software-like rigor to our work. We are transitioning to “self-serve” data solutions where stakeholders discover insights for themselves, such as advanced Tableau (e.g. with embedded Python). Our mission is to allow stakeholders (not just analysts) to produce insights “at the speed of thought.” This role is central to that mission. Gusto has a centralized DS center-of-excellence (CoE). Some of their models already underpin F&A work. However, this role is for a data scientist to be embedded in our F&A team to achieve the following: Here’s what you’ll do day-to-day: Ideate advanced techniques to improve F&A across the entire revenue journey from acquisition to close-of-sale and beyond (e.g. up-sell). Build advanced solutions whilst liaising with the CoE to share knowledge and resources. Identify, evaluate and recommend best-in-class 3rd party tools (e.g. “RevOps AI” platforms). Ideate and embed DS methods into existing F&A data products (e.g. via Python extensions to Tableau) so as to add next-level self-serve insights beyond native Tableau capabilities. Evangelize, design and oversee an up-skilling program for existing analysts to adopt DS and advanced analytics methods within their work. Influence our DataOps practices from a DS perspective, working with our Data Curator to ensure testability and related data-quality mechanisms. Here’s what we're looking for: Demonstrable experience with Python and classical ML libs like scikit-learn Critical thinking and self-start attitude, comfortable with ambiguity and incomplete requirements Passion for sharing knowledge and teaching others Advanced Tableau, ideally using Pythonic extensions Advanced visualization techniques and familiarity with information design & UX Our cash compensation amount for this role is targeted at $123,000-$138,000/year in Denver & most remote locations, and $149,000 - $167,000/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home with us.  Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Our company considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]. 

Credit Model Risk Lead Machine Learning

Affirm

We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse. What you'll do Perform independent challenges of machine learning models used for credit underwriting/credit risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement; Collaborate with model owners to remediate model validation findings; Partner cross-functionally to implement and maintain the company’s MRM framework; Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests. What we look for 3-6 years of professional experience in related technical areas such as model development, model validation, data science Deep and broad knowledge and experience in machine learning modeling, credit underwriting, and credit risk management Strong coding skills in Python, SQL BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving Extraordinary interpersonal and verbal/written communication skills Location - Remote U.S. Grade - USA29 #LI-Remote

Data Scientist Senior

Usaa

Purpose of Job We are seeking a talented Data Scientist Senior for our San Antonio, TX Home campus; Plano, TX campus; Phoenix, AZ campus; Colorado Springs campus; Tampa, FL campus; Charlotte, NC campus or 100% Remote. As a data scientist supporting enterprise member and Omni channel area, you will be partnering with product managers, IT, and other data scientists to build and deliver advanced analytical solutions. In this role, you will build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The incumbent will be expected to share and apply their knowledge of current state-of-the-art methods, technologies, and applications across data science fields, including statistics, programming languages, unsupervised learning, etc. This position will leverage interpersonal skills to translate the complexity of work into tangible business recommendations. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees. Job Requirements About USAA USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This outstanding mission requires a dedication to innovative thinking at every level. About USAA IT Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 12 million members who rely on us every day. We are over 5,000 employees strong, a passionately supportive and collaborative team built on agile principles. We've been a top-two Computerworld 100 Best Places to Work in IT five years in a row and were recently named a Top 50 Employer for Minority Engineers & IT by Workforce Diversity Magazine. Tasks: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions. Minimum Requirements: Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses. Preferred experience: Hands-on experience developing products that utilize advanced machine learning techniques and ability to transition those solutions from the development environment into the production environment for full-time use.Hands on experience or exposure to deep learning areas such as deep learning in areas such as computer vision, Natural Language Processing (NLP), graph modeling and recommender systems.Understand the end to end model development, implementation, business integration and model risk management process under finance institution environment.knowledge of cloud environment, move data to and from cloud environment and conduct the ML and advanced analysis in cloud environmentExtensive experience of at least one programming languages, such as Python, R, Java, SQL, etc.Agent-based modeling expertise, with knowledge of AnylogicAdvance degrees in STEM disciplines with an emphasis on applied mathematical backgrounds are preferred. Exposure building digital twins across many different spaces that will be providing both retrospective and projective operational and strategic recommendations, with behavioral models developed using ML algorithms from extensive databases on the modeling targets. The above description reflects the details considered vital to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Compensation: USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $106,800.00- $192,300.00* (this does not include geographic differential it may be applied based on your work location) Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. Please click on the link below for more details. USAA Total Rewards Relocation assistance is Not Available for this position.

Senior Lead Data Scientist

Bezero Carbon

Full time, London or remote (GMT +/- 3 hours) About us: BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers. Founded in April 2020, our 60-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. Our head office is in London, and our people work from six continents. For more information visit www.bezerocarbon.com. Job Description: After the launch of our MVP of the BeZero Carbon Markets (BCM) platform late last year, we are now scaling our data engineering and science team at pace. The team will be a small group of engineers and scientists that build the core data products and automation for our client-facing platform and therefore sits at the core of the business. Your work would cover a broad range of applications: you could be developing statistical and machine learning algorithms that automate (parts of) our offset rating methodology further, use Markowitz-style portfolio optimisation techniques to build portfolios of carbon offsets, or build neural networks to process satellite imagery data to enable offset tracking over time, to name just a few potential applications. As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our deployments end-to-end. We avoid silo-ed teams where proof-of-concepts are built separately and handed over to software engineering teams before they are considered production-ready. Our philosophy is to follow software engineering best-practices when developing our data products (for example, see this repo by Satalia that details a similar development workflow for data products). The tech stack is AWS-based and uses SQL (PostGres) and Python’s ecosystem for data engineering and science (think packages like NumPy, Pandas, Airflow, FastAPI, etc). While these foundations have been set, we are still early in our journey with many things we want to build. As an early team member, you will have significant opportunity to help shape the team’s products and the way we build them. You’re welcome to work in our London-based office, but very much welcome applications remotely if you can work GMT +/- 3 hours. You’d be reporting into our Chief Data Strategist Thomas, who joined recently from data and machine learning consultancy QuantumBlack and McKinsey & Co, and represents the data organisation at the executive level. Responsibilities: You will be an individual contributor in our central data team, focused on scoping and building data products to be deployed on our carbon markets platform that helps clients make smarter Net Zero decisions. You will research and implement statistical and machine learning approaches to solve business challenges relevant to carbon markets (e.g., think carbon offset rating algorithms, credit issuance time series forecasting, text mining on carbon removal project documentation to name a few use-cases). You will work in a collaborative, production-facing codebase that is closely coupled with engineering systems. You will be involved in the day-to-day operations of the team, including maintaining and improving our current tools & scripts and collaborating with experienced data engineers. You’ll be our ideal candidate if: You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy. You have an advanced degree in a quantitative field. You have 4+ years of experience in scoping and building statistical or machine learning use cases in production. You have practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps. You are familiar with SQL and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc) (must-have) and workflow orchestration tools (e.g., Prefect, Dagster, Airflow), containerization (e.g., Docker), cloud platforms (we use AWS but experience with any cloud platform will do) (preferred). You are able to write clean, maintainable, scalable, and robust code in Python and SQL, and familiar with collaborative coding best practices (e.g. PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc). You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. You are comfortable when faced with a lot of ambiguity, both technically and organisationally. You’re happy to tackle problems without a clear definition or solution. You enjoy owning problems end to end, from the early exploration of the problem through to releasing things to customers and understand that often doesn’t involve writing code. Bonus points (but we’d still like to hear from you if you don’t have experience in any of these) Experience working with PDF and text data (natural language processing) is a plus. Experience in working with satellite imagery data is a plus. Experience in productionising deep learning models for text or image processing is a plus. Experience working with geospatial data in Python (geopandas, xarray, rasterio, etc) is a plus. Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we’d love to hear from you! What we’ll offer: Competitive renumeration and opportunity for equity in a rapidly growing VC-backed start-up through share optionsAbility to learn and develop alongside a range of sector specialists from the scientific, technology, economic and business community Opportunity to be part of a fast-growing data organisation that is central to the company, with clear opportunities to set the pace and vision for the team and to either develop in the future as an IC, into a deep tech expert in carbon markets, or as an engineering manager, leading the day-to-day of the team.Flexible working arrangements: A central London office space (Angel) if you wish to work from an office, but opportunity to work completely remote as well. Our interview process: Initial screening interview (15-30 mins)Technical experience interview (45 mins) and case study (45 mins) with Chief Data StrategistFinal interview (1hr) with senior managementReference checks + offer We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We’re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability

Data Scientist

Bezero Carbon

Full time, London or remote (GMT +/- 3 hours) About us: BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers. Founded in April 2020, our 60-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. Our head office is in London, and our people work from six continents. www.bezerocarbon.com Job Description: After the launch of our MVP of the BeZero Carbon Markets (BCM) platform late last year, we are now scaling our data engineering and science team at pace. The team will be a small group of engineers and scientists that build the core data products and automation for our client-facing platform and therefore sits at the core of the business. Your work would cover a broad range of applications: You could be developing statistical and machine learning algorithms that automate (parts of) our offset rating methodology further, use Markowitz-style portfolio optimisation techniques to build portfolios of carbon offsets, or build neural networks to process satellite imagery data to enable offset tracking over time, to name just a few potential applications. As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our deployments end-to-end. We avoid silo-ed teams where proof-of-concepts are built separately and handed over to software engineering teams before they are considered production-ready. Our philosophy is to follow software engineering best-practices when developing our data products (for example, see this repo by Satalia that details a similar development workflow for data products). The tech stack is AWS-based and uses SQL (PostGres) and Python’s ecosystem for data engineering and science (think packages like NumPy, Pandas, Airflow, FastAPI, etc). While these foundations have been set, we are still early in our journey with many things we want to build. As an early team member, you will have significant opportunity to help shape the team’s products and the way we build them. You’re welcome to work in our London-based office, but we very much welcome applications remotely if you can work GMT +/- 3 hours. You’d be reporting into our Chief Data Strategist Thomas, who joined recently from data and machine learning consultancy QuantumBlack and McKinsey & Co, and represents the data organisation at the executive level. Responsibilities: You will be an individual contributor on our central data team, focused on scoping and building data products to be deployed on our carbon markets platform that helps clients make smarter Net Zero decisions. You will research and implement statistical and machine learning approaches to solve business challenges relevant to carbon markets (e.g., think carbon offset rating algorithms, credit issuance time series forecasting, text mining on carbon removal project documentation). You will work in a collaborative, production-facing codebase that has is closely coupled with engineering systems. You will be involved in the day-to-day operations of the team, including maintaining and improving our current tools & scripts and collaborating with experienced data engineers. You’ll be our ideal candidate if: You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy. You have an advanced degree in a quantitative field. You have 2+ years of experience for the mid-level role, or 4+ years of experience for the senior-level role, in building statistical or machine learning use cases in production. We will be accepting applications with less experience in the future, but now need people who can hit the ground running. You are familiar with SQL and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc) (must-have) and workflow orchestration tools (e.g., Prefect, Dagster, Airflow), containerization (e.g., Docker), cloud platforms (we use AWS but experience with any cloud platform will do) (preferred). You are able to write clean, maintainable, scalable, and robust code in Python and SQL, and familiar with collaborative coding best practices (e.g. PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc). You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. You are comfortable when faced with a lot of ambiguity, both technically and organisationally. You’re happy to tackle problems without a clear definition or solution. You enjoy owning problems end to end, from the early exploration of the problem through to releasing things to customers and understand that often doesn’t involve writing code. Bonus points (but we’d still like to hear from you if you don’t have experience in any of these) Experience working with PDF and text data (natural language processing) is a plus. Experience in working with satellite imagery data is a plus. Experience in productionising deep learning models for text or image processing is a plus. Experience working with geospatial data in Python (geopandas, xarray, rasterio, etc) is a plus. Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps would be considered a plus Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we’d love to hear from you! What we’ll offer: Competitive renumeration and opportunity for equity in a rapidly growing VC-backed start-up through share optionsAbility to learn and develop alongside a range of sector specialists from the scientific, technology, economic and business community Opportunity to be part of a fast-growing data organisation that is central to the company, with clear opportunities to set the pace and vision for the team and to either develop in the future as an IC, into a deep tech expert in carbon markets, or as an engineering manager, leading the day-to-day of the team.Flexible working arrangements: A central London office space (Angel) if you wish to work from an office, but opportunity to work completely remote as well. Our interview process: Initial screening interview (15-30 mins)Technical experience interview with Chief Data Strategist (60 mins)Final interview (1hr) with senior management Reference checks + offer We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We’re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.

Lead Applied Data Scientist Commercial Business

Civis Analytics

What we do At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.  Learn more about Civis at www.civisanalytics.com. All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles. Job Description We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.  The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions. ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company. Responsibilities Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology. Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals. Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission Manage and mentor teams of data scientists Some limited travel required (typically <10%) Minimum Qualifications Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.) A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges Experience managing teams to complete products within scope and on time Proficiency in SQL and/or statistical packages (R, Python, STATA, etc) Excellent interpersonal and communication skills Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment Preferred Qualifications Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus Familiarity with machine learning, and causal inference a plus Experience working for a consulting, services, or advisory firm Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.  We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.  Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
 To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected]. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency

Associate Data Scientist Carbon

Indigo

We are an international AgTech startup pioneering an ambitious program to solve some of our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain to create scalable climate solutions that both improve the farmers’ bottom line and reduce atmospheric greenhouse gas levels. Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. Indigo’s Core Modeling team builds tools to quantify the environmental benefits of changing the way farming is done. We are looking for a data scientist to help build the next generation of modeling and quantification tools that will enable carbon sequestration in agricultural soil to reach the gigaton scale. In addition to working closely with the engineers, scientists, and data scientists on the Core Modeling team, the candidate will be a member of the broader community of data scientists working across Indigo, creating opportunities to learn from and collaborate with fellow data scientists. Responsibilities: Using a mix of external data and our rich proprietary data, leverage a range of skills including statistics, modeling, machine learning, simulation, analytics and data visualization to enhance existing models and to push the state of the art. Improving models: Modernize the techniques and datasets used by models to predict carbon sequestration and abatement Collaborating with biogeochemical scientists and other data scientists, improve the way in which the uncertainty of emissions reduction is quantified Contribute to calculating the permanence of carbon in the soil; summarize the results of permanence and other long-term monitoring Estimating emissions reduction at small scales: Shape the way that growers are compensated for removal and abatement of greenhouse gas emissions by conducting analyses, deriving insights, and helping to implement solutions in production Contribute tools that give growers insights into their sequestration and abatement Sample design and survey statistics: Support the adoption of new, more efficient sample designs for choosing where and how to collect measurements Analyze and summarize potential sources of bias by leveraging existing tools and extending them to be more capable Reporting: Conduct analyses at multiple points in the calculation of carbon credits and document them so that they can be shared with verifying bodies Implement reporting for new carbon projects, in collaboration with engineers and the policy team Competencies: Eagerness to learn about new areas. We work on a lot of different topics—from carbon accounting to soil science to survey statistics to regenerative agriculture—and candidates need not be familiar with all these topics on day 1. Collaborate on data exploration and reporting with teammates using a version control system, working in SQL and Python Understand and manipulate data to create visualizations with actionable insights for internal and external consumption. Make creative and aesthetically appealing visuals that tell a story to enable clear and impactful action Collaborate well cross-functionally in a professional and effective manner. Balance and prioritize competing demands to create the highest overall value Translate functional requirements into easy-to-use, flexible reporting solutions Articulate complex ideas and concepts into understandable insights that enable decisions for specific audiences Refine broad or ambiguous goals into clear questions and actions Demonstrate outstanding problem-solving skills Actively seek answers to questions as a self-starter Qualifications: BS or higher in a technical field and/or relevant industry experience. Technical Requirements: 1+ years experience with Python (or 1+ years experience with a similar language such as R, Matlab, etc., and an eagerness to learn Python) SQL familiarity (deep expertise is not needed) Familiarity with a visualization framework (e.g., matplotlib, ggplot) Experience with version control (preferred) Experience working cross-functionally: Experience working with agile software development teams (preferred) Ability to work with diverse stakeholders to translate ambiguity into clear project requirements Experience working in a fast-paced, growth environment Benefits: Health, dental, and vision insurance for you and your family Generous time off Parental leave A remote-first organization with flexible work hours 401(k) plan Indigo is committed to living our values, specifically creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow. As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

Senior Data Scientist North America

Getty Images

Senior Data Scientist - United States or Canada (Remote) Duration: Permanent Location: United States or Canada (Remote) Start: ASAP Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office. Who You Are: We are looking for a Senior Data Scientist in generative AI. Using your depth of artificial intelligence and machine learning expertise while considering the broader business context, you will develop and work with partners to develop industry-leading models powering content discovery and creation. This position will have a direct impact on the content decisions of millions of customers! Your Next Challenge: Research, prototype, build and evaluate industry-leading models using our images, videos, metadata, and/or customer interactions to significantly improve our customers’ content discovery and selection experience Develop our technical generative AI roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying technical solutions Develop and implement online and offline testing and validation methodologies Partner with 3rd parties and APIs to assess, evaluate and integrate their technology, where appropriate Partner with product, user research, design, and engineers to test and learn and develop industry-leading user experiences  What You’ll Need: Experience building and validating image/video generation or modification models. Professional or research experience. A minimum of 3 years validated experience building machine learning models in production settings Validated expertise partnering with product, user researchers, and designers developing novel user experiences afforded with new technologies Hands-on experience with accessing data, Python, machine learning libraries, compute, and deep learning architectures and libraries (ex: TensorFlow, GANs, transformers, spark, AWS, GPU optimization, etc.) Ability to rapidly prototype solutions Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and models and develop solutions to mitigate biases appropriately Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! Nice-to-have: background in image processing techniques for image editing A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful Mental and Physical Demands: Frequent communication with others to exchange information. Frequent sedentary work that primarily involves sitting/standing; Time of each will vary. Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc. Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required) Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy. Benefits at Getty Images   Health Insurance We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.   Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.     Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.     401(k) Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!    Learning & Growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).   US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.   Help us move the world with images! Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.   Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behaviour and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experience Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected]. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Senior Data Scientist Toronto

Getty Images

Senior Data Scientist - Toronto (Remote) Duration: Permanent Location: Toronto Start: ASAP Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office. Who You Are: We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions. Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.  Your Next Challenge: Build industry-leading algorithms for search, personalization, and recommendations, using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences Guide and mentor other data scientists and data analysts in formulating and implementing our technical roadmap Contribute to development our technical ranking strategy alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success Develop and implement online and offline testing and validation methodologies Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms and models in the production process  What You’ll Need: Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products A minimum of 3 years validated experience Proven expertise providing mentorship and guidance to team members. A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred  Mental and Physical Demands: Frequent communication with others to exchange information. Frequent sedentary work that primarily involves sitting/standing; Time of each will vary. Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc. Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required) Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy. Benefits at Getty Images   Extended Health Insurance   Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.     Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.      Learning & Growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).   US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.   Help us move the world with images! Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.   Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behaviour and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experience Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected]. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Data Scientist

Signifyd 4A42B37C 2426 42B2 A47F 5248Ec89066B

The Data Science team builds production machine learning models that are the core of Signifyd's product. We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals. The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management. We value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects. The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experience iterative improvements to our remote culture. How you'll have an impact: Research real-time new fraud patterns with our Risk Intelligence team Improve the important components of the Signifyd Commerce Protection Platform Communicate complex ideas to a variety of audiences Build production machine learning models that identify fraud Write production and offline analytical code in Python Work with distributed data pipelines Collaborate with engineering teams to strengthen our machine learning pipeline Past experience you'll need: A degree in computer science or a comparable analytical field 2+ years of post-undergrad work experience required Use visualizations to communicate analytical results to members outside your team Hands-on statistical analysis with a solid fundamental understanding Write code and review others' in a shared codebase, preferably in Python Practical SQL knowledge Design experiments and collect data Familiarity with the Linux command line Bonus points if you have: Previous work in fraud, payments, or e-commerce Data analysis in a distributed environment Passion for writing well-tested production-grade code A Master's Degree or PhD #LI-Remote (Colorado only*) Minimum salary of $95,000 + bonus + equity + benefits. Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado. Benefits in the USA: 4-day workweek Discretionary Time Off Policy (Unlimited!) Talkspace Online Therapy Membership Dedicated learning budget through Learnerbly 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag

Principal Data Scientist

Cohere Health

Company Overview Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles. Opportunity overview We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.  What you will do:  Provides thought leadership & strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations Establishes and maintains effective performance tracking; identifies improvement opportunities, form hypotheses, propose, design and implement tests to drive strategy enhancement and optimization Oversee multiple projects at any given time, utilizing different analytical skill sets where applicable Develop and execute advanced analytics with scalable and reusable codebase and models that solve business problems Present information using data visualization techniques and propose solutions and strategies to business challenges What you bring: 5+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization Analytics expert with experience collaborating with business functions to deliver solutions that support decision making Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL) Familiar with healthcare data such as EMR data, Claims and SDOH data Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science. What you bring bonus edition: Experience with Amazon AWS cloud platform  Experience with ElasticSearch Experience with graph database    #LI-Remote #BI-Remote

Data Scientist

Cohere Health

Opportunity overview We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.  What you will do:  Play a key role in gathering business requirements, using them for product analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes Present information using data visualization techniques and propose solutions and strategies to business challenges What you bring: 3+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL) Strong interest and understanding of EMR data, Claims and SDOH data Experience with data visualization tools such as Tableau and  Kibana, preferred Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field What you bring bonus edition: Experience with Amazon AWS cloud platform  Experience with ElasticSearch Experience with graph database #LI-Remote #BI-Remote

Actuarial Analyst

Cohere Health

Company Overview Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles. Opportunity overview Cohere’s Clinical Programs arm of the Clinical Content team is responsible for identifying clinical programs to drive adherence to Cohere’s Care Paths (i.e. our model for ensuring provider decisions are aligned with standards of care and that drive optimal outcomes for every patient). When these programs are implemented successfully, we are able to improve patient experience, clinical quality, provider experience, and achieve the value objectives expected of our clients.    The Actuarial Analyst will be working closely with Cohere’s Director of Clinical Programs and Quality Analytics and the analytics team and responsible for rapid-cycle monitoring and evaluating the impact of Cohere’s products, services and clinical programs on medical cost trend and quality of care. These rapid-cycle analyses should generate early and ongoing indication of whether Cohere is on the right track about meeting the targets we commit to our clients, and identify opportunities for course correction when meeting the targets is at risk.  At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunity. What you will do: Quickly understand Cohere’s products, services and clinical programs and how Cohere’s x-functional collaboration and workflow intersect with healthcare providers’ workflow and patients’ care journey.  Leveraging data from various sources, e.g., medical claims and data submitted by providers via the prior authorization process, working with Directors of Clinical Programs to analyze and simulate expected impact and ROI, e.g., saved medical cost, saved administrative cost and improved quality and patient outcomes, for proposed clinical programs and interventions to inform strategic planning.   Work with peer actuary analysts to maintain, update and QC models to monitor and track outcome and trend. Work with Directors of Clinical Programs to design and conduct the impact evaluation analysis, including appropriately identifying intervention and comparison cohorts, baseline/benchmarks, unit of measurement (e.g., by procedure or diagnosis or diagnosis groups/care paths) and analytic approaches (e.g., pre- and post-, quasi-experimental design, difference in differences). The design should include sensitivity analyses and alternative definitions of key terms (e.g., comparison cohort and baseline periods) to account for confounding factors for true Cohere impact.     Collaborate with the analytics team and leverage Cohere data models and data infrastructures to create appropriate analytic files to support impact simulation and impact evaluation Maintain documentation of methodology of trend analysis/impact evaluation analysis and coding/programs of all analytic file building and actuarial analysis and models so they are ready to quickly scale to multiple programs and interventions across types of services, care paths/diagnosis groups and lines of business (e.g., Medicare Advantage, commercial Medicaid).     Specific routine deliverables include but not limited to:  Daily, weekly, and monthly reporting cadence ensures prior authorization requests match expected utilization  Identifying and investigating abnormal leading indicators for trend, intervening and deploying programs to curtail Reconciling and comparing impact of interventions and auth data with actual results showing up in claims Your background & requirements: Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible. Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment 2-3 years of professional experience in an actuarial analytics role within healthcare (payer, provider, consulting), with demonstrated analytical skills with build new predictive models and analytic solutions using tools such as GLM, logistic regression and decision trees Advanced knowledge of observational data analyses with large data including medical claims, pharmacy, and eligibility data Minimum 2 years of experience using Base SAS, SAS/Macros, and SQL or R, Python or equivalent statistical and analytical softwares Bachelor’s Degree in Math, Statistics, Biostatistics, Actuarial Science, or Economics required. Advanced degree preferred Successful completion of at least 2 or more SOA Actuarial exams, ASA preferred. Please Note: We offer a continuing education program for all Actuarial Analysts.  This program includes: Bonus and salary increase upon successful completion of your ASA or FSA Reimbursements for required books Company paid annual licensing fees Flexible PTO policy for your exams We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement  Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal. #LI-Remote #BI-Remote

Engineering Manager Data Science And Machine Learning

Bolt

The Financial Products team owns two of the most important areas with respect to a retailer’s online operations: payments and risk. Bolt strives to work with all credit card payment processors and Alternate Payment Methods (APMs) offering our end customers the greatest variety of choice in determining how they want to pay. For our retailers, our risk product gives them confidence we are approving the most amount of orders while keeping the fraudulent chargeback rate down.   The Risk team specifically identifies and stops fraudsters, enabling merchants to rest assured when accepting online payments. Check out our Engineering Blog!  Responsibilities:  Manage an 8-10 person cross-functional engineering team Own roadmaps, prioritization, technical architecture and day to day technical oversight for their team Own the hiring plan, collaborate with recruiting on executing on it, assess and close candidates Coaching engineers on your team to help them grow personally and professionally Build relationships with stakeholders across the organization to index for greatest impact Requirements: BA/BS in a technical field. Computer Science or Computer Engineering is a plus 1+ years as a manager of engineering team(s) 6+ years experience as an individual contributor on an engineering team Prior experience managing engineers at Venture backed or large scale tech firm Experience working with teams split across several sites is a plus

Data Scientist

Bolt

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics. We are looking for someone to play a mission-critical role in designing and building the data mining algorithms, and data analytics pipelines at Bolt. We’re looking for someone with the experience, creativity, and passion for producing world-class technology who can support our product, leadership and marketing teams with insights gained from analyzing our data. Other teams at Bolt, other companies, and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know. Check out our Engineering Blog! Responsibilities Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt Conduct data analysis to determine which policies we adopt and help inform strategic growth Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business About you Passion to improve e-commerce businesses Strong communication skills in a cross-functional team Unrelenting focus on impact Ability to formulate business problems into quantitative objectives and developing methodological solutions Requirements MS/PhD in math, statistics, computer science, or other quantitative field 3+ years of experience in developing ML/statistical models in an applied setting Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling Knowledge of data mining, and big data analytics techniques Experience with big data processing pipelines and orchestration tools Mastery in SQL or other big data processing languages Experience with one of the programming languages such as Python, R, Java, Scala Preferred Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda

Quantitative Researcher Python

Gemini

Empower the Individual Through Crypto Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto. Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement. At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home. Select roles that are location-specific will still be eligible for flexible schedules. The Department: Data Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large. The Role: Quantitative Researcher (Python) We are growing the Data Science team and AI stack at Gemini. We are looking for quantitative researchers and machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative quantitative models and algorithms.  Responsibilities: Develop core algorithms and models leading directly to better risk, trading, lending and investment decisions Be able to distill complex models and analysis into compelling insights for our stakeholders and executives Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively Stay up-to-date with data science tools and methodologies in technology and financial domain Knowledge of probability and statistics, including time series, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Qualifications: Masters or PhD(preferred) in Statistics, Applied Math, Computer Science, Financial Engineering or related fields Expertise utilizing high frequency data for analyzing market impact, market making, transaction cost analysis and/or price prediction Expertise in quantitative research, portfolio management, risk management and/or trading 2+ years of experience deploying statistical, time series and/or machine learning models in production 2+ years of experience in integrating quantitative models into applications Skilled in programming languages like Python, Java/C++/C# and SQL Sound knowledge in dealing with large data sets for analytical approach and quantitative methods Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark Strong technical and business communication Good to haves: Deep Learning, NLP and exposure to crypto It Pays to Work Here We take a holistic approach to compensation at Gemini, which includes: Competitive Compensation and Profit-Sharing Equity Flexible vacation policy Retirement Plan Matching Generous Parental leave Comprehensive health plans Training and professional development At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-CM1 #LI-REMOTE

Data Science Manager Healthline

Red Ventures

What You'll Do Lead a small data science team by defining technology strategy, creating and managing a project portfolio, tracking data science KPIs and driving daily execution to achieve desired business outcomes. Collaborate effectively with other functions to set team priorities, influence work approaches and solve operational/organization challenges. You will be a key contributor of the overall technology and organizational strategy for the data science function across the Red Ventures organization. Act as a player-coach to understand business strategy and identify innovative data science opportunities that can lead to significant business impact. Develop a team of varied levels of seniority and expertise through direct leadership, training, and feedback. Drive projects forwards with high efficiency and effectiveness. Foresee technical, business and execution risks in projects and strategically make decisions to mitigate them. Bring relevant state-of-the-art data science technologies to the team and lead by example to establish best practices What We're Looking For 4+ years of relevant professional experience with a MS or PhD degree in STEM with specialization in machine learning, statistical modeling and optimization. 2+ years of relevant experience managing a team of data scientists. Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data. Excellent written and verbal communication skills, particularly when there is ambiguity involved. Capable of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success. Must be comfortable with unstructured, fast moving and constantly evolving high growth environment. Applied experience with machine learning on large datasets. Hands on experience with each part of the data science toolkit, including statistical analyses, hypothesis testing, and data cleaning/feature engineering. Experience building predictive models inside a statistical computing environment (e.g., R, Python, Sklearn, SPSS, Matlab, Octave) Programming experience in one or more of the following: Java, Scala, Python, C/C++ Experience with distributed computing: Hive/Hadoop, Spark Proficiency in deploying data science solutions in a live, production environment, especially in near real-time settings (ex: models embedded into a REST API) Knowledge and experience in digital marketing and e-commerce a plus COVID-19 Update: Unless otherwise prohibited by law, if a candidate is successful and a conditional job offer is made, the candidate then will be required to submit proof of vaccination against COVID-19.  Requests for reasonable accommodations on the basis of disability or religious belief will be considered on an individualized basis. "Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by Red Ventures, subject to eligibility requirements." Starting Salary: $150,000 - $240,000 *Note actual salary is based on geographic location, qualifications and experience  Health Insurance Coverage (medical, dental, and vision)  Life Insurance  Short and Long-Term Disability Insurance  Flexible Spending Accounts  Paid Time Off  Holiday Pay  401(k) with match  Employee Assistance Program  Paid Parental Bonding Benefit Program  A Red Ventures Brand Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].

Senior Data Scientist Machine Learning Computer Vision

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.Are you excited about solving real-world computer vision problems that involve millions of smart cameras from mobile devices? Are you interested in developing and advancing state-of-the-art computer vision and deep learning algorithms? This team is responsible for building large scale machine learning models for 2D/3D scene understanding, object detection, and activity recognition (e.g. delivery detection).Key Responsibilities: Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration into production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems. Lead research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics. Work with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged. Use data science and machine learning methods to bootstrap new functionalities. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline; PhD degree or equivalent industry experience is preferred. 4+ years of Data Science and Machine Learning experience required. Strong programming and software development skills, and familiarity with Python, and deep learning frameworks (Keras, Tensorflow, PyTorch, Caffe). Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired. Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Experience with AWS is a plus. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. Experience in signal processing, video encoding and analysis, and/or deep learning isalso beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is a plus. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Scientist Bfs

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements Bachelors Degree in Data Science, Computer Science, or related field Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics is a plus. 4+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Scientist

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions utilizing cutting-edge techniques and tools. Effectively communicate the analytics approach and how it will address thes trategic objectives to our business partners. Advocate and educate for the value of data-driven decision making; focus on the “how" and "why” of solutioning. Lead analytical approaches - integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community ;identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate and learn with a growing team of experienced Data Scientists. Stay connected with the broader Data Science community through conferences and external engagements. Masters Degree in Data Science, Computer Science, or related field 2+ years of Data Science and Machine Learning experience required Proficiency in Pyspark, Python or R and ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement Machine Learning best practices for the entire DataScience lifecycle Ability to apply various analytical models to business use cases (NLP,Supervised, Un-Supervised, Neural Nets, etc.) Experience with data visualization tools — Tableau, Power BI, etc. a plus Exceptional communication, collaboration, and time management skills andthe ability to understand stakeholder needs and deliver solutions This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.#LI-remote

Data Scientist

Missionwired

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.  We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan. We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.  We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community. Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible. Overview: We are looking for a data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.  You’ll join an data science team that is deeply devoted to inclusion, particularly in the following three areas:    Process: We create a context in which everyone is empowered to contribute. Machine Learning: We are committed to identifying and removing bias from our algorithms.  Philanthropy: We empower diverse groups of individuals to participate in giving.     With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go. You will be responsible for: Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization; Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation; Supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources; Working to constantly improve data reliability and quality; Collaborating with cross-functional teams to support their data infrastructure needs. Must-have qualifications: Experience in designing and implementing machine learning solutions to business problems; A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches Experience with SQL to write nuanced analytic queries; Familiarity with big data tools using AWS or other cloud services; Intellectual curiosity to innovate on ways to solve data management issues. Nice-to-have qualifications: Working knowledge of Pandas and ideally PySpark; Experience deploying deep learning models; Ability to optimize data pipelines, architectures, and data sets. Salary range for this role is $75,000 to $90,000 per year, depending on experience. If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

Associate Data Scientist

Missionwired

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.  We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan. We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.  We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community. Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible. Overview: We are looking for an associate data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.  You’ll join an data science team that is deeply devoted to inclusion, particularly in the following three areas:    Process: We create a context in which everyone is empowered to contribute. Machine Learning: We are committed to identifying and removing bias from our algorithms.  Philanthropy: We empower diverse groups of individuals to participate in giving.     With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go. You will be responsible for: Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization; Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation; Supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources; Working to constantly improve data reliability and quality; Collaborating with cross-functional teams to support their data infrastructure needs. Must-have qualifications: A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches Experience with SQL to write nuanced analytic queries; Experience in designing and implementing machine learning solutions to business problems; Familiarity with big data tools using AWS or other cloud services; Intellectual curiosity to innovate on ways to solve data management issues. Nice-to-have qualifications: Working knowledge of Pandas and ideally PySpark; Experience deploying deep learning models; Ability to optimize data pipelines, architectures, and data sets. Salary range for this role is $55,000 to $75,000 per year, depending on experience. If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

Data Scientist Compliance

Kraken

About Kraken As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world. About the Role The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Data Scientist with a background in statistics, machine learning and/or natural language processing to help us build and maintain models to describe and predict anomalous customer activity on Kraken’s platform. The role will involve maintaining the transaction monitoring rules codebase, ensuring that requirements for model validation are met, and building a number of new models to enhance existing controls. There is significant scope for innovation in this role, and we are looking for someone who thrives in an environment of ‘freedom with responsibility’. The ideal candidate would have some familiarity with the control systems used to comply with regulatory requirements under BSA/AML or AMLD 4+, but this is not required. A great candidate will be someone who has experience solving customer and behaviour profiling problems in an evolving data environment. This role will contribute directly to Kraken’s ability to build best-in-class systems for detecting financial crime and will enable us to continue to meet regulators’ expectations for a robust monitoring and control program. Responsibilities Partner with Compliance operations, Product, Engineering and other stakeholders to build descriptive and predictive models to identify anomalous activity. Maintain the existing transaction monitoring rules codebase. Ensure that all activities meet model validation requirements. Design and build proof-of-concept models to test hypotheses and help with idea generation and refinement. Use structured and unstructured data to enrich transaction monitoring metadata. Drive cross functional projects from beginning to end: build relationships with partner teams. Communicate model methodology and results to operations teams and Compliance leadership. Develop anomaly detection and data modelling tools to monitor key performance indicators to improve the efficiency of models. Requirements PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field. 3+ years industry experience in data science or analytics. A consistent track record of performing data analysis using Python, R, SQL or other CLI tools. Experience using statistics and predictive analytics to solve complex business problems. Versatility and willingness to learn new technologies on the job. The ability to clearly communicate complex results to technical and non-technical audiences. Nice to have Familiarity with cloud native and distributed processing would be a strong plus (for example Kubernetes) Familiarity with financial crime and market abuse typologies is a plus. Location Tagging: #EU #US We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.  As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.  Stay in the know Follow us on Twitter Catch up on our blog Follow us on LinkedIn

Senior Data Scientist

Sensor Tower

Role Summary: Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.  We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.  Responsibilities Prototype machine learning models in Python or Ruby Work with MongoDB and analyze query performance to ensure calculation efficiency Write tests for the implementation of machine learning models Collaborate with back-end engineers to understand the raw data being collected Collaborate with front-end engineers to create data visualizations for both external and internal customers Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team Present results of various data analysis Requirements Master’s degree or above in mathematics, statistics, or computer science 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence Ability to write code that is ready for production (Python and Ruby preferred) Experience with adjusting data for bias Substantial experience with databases, querying data, and data structure manipulation Ability to communicate effectively with technical developers and non-technical marketing business partners Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project Ability to come up with a rough project structure from scratch Ability to critically analyse given data, ask probing questions, and perform own research Substantial knowledge of statistical modeling techniques Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets About Sensor Tower Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!  Our benefits include:  - Flexible time off so employees can shape their time away from work.  - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.  - Monthly internet stipend and a one-time $500 home office stipend. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. #LI-Remote

Full Stack Data Scientist

Sensor Tower

Role Summary: Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.  We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.  Responsibilities Prototype machine learning models in Python or Ruby Work with MongoDB and analyze query performance to ensure calculation efficiency Write tests for the implementation of machine learning models Collaborate with back-end engineers to understand the raw data being collected Collaborate with front-end engineers to create data visualizations for both external and internal customers Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team Present results of various data analysis Requirements Master’s degree or above in mathematics, statistics, or computer science 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence Ability to write code that is ready for production (Python and Ruby preferred) Experience with adjusting data for bias Substantial experience with databases, querying data, and data structure manipulation Ability to communicate effectively with technical developers and non-technical marketing business partners Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project Ability to come up with a rough project structure from scratch Ability to critically analyse given data, ask probing questions, and perform own research Substantial knowledge of statistical modeling techniques Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets About Sensor Tower Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!  Our benefits include:  - Flexible time off so employees can shape their time away from work.  - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.  - Monthly internet stipend and a one-time $500 home office stipend. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. #LI-Remote

Data Scientist

Thredup

About thredUP: thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry. How You Will Make An Impact: At thredUP, our mission is to inspire a new generation to think secondhand first, and data is critical to our success. We are seeking a curious and creative data scientist to join our team to drive critical business decisions to grow our customer base and improve the efficiency of our marketing dollars. You will be working with a highly interdisciplinary team of data scientists, software engineers, product managers, and marketers. This role will involve building and refining the algorithms that drive our growth, deriving insights from our wealth of customer and inventory data, and partnering with our marketing and product teams to evolve and grow the thredUP marketplace. In This Role You’ll Get To Implement end-to-end algorithmic solutions to drive marketing and product decisions Partner with the growth marketing team to advance our attribution methodology as we take a full funnel approach to marketing and navigate evolving privacy regulations Design, configure, and analyze experiments that uncover fundamental truths about our customer and drive business growth Provide insights that will help enhance our understanding of customer lifetime value With customer experience and growth top of mind, work with cross functional teams to build site features, advance our notification strategy, and design high-impact promotional events Uncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings Design, code, and deploy data science and machine learning solutions across the product and business landscape in collaboration with other engineers and data scientists What We’re Looking For 3 or more years of demonstrated ability as part of a data science, product analytics, machine learning, or software development team Prior experience working in B2C marketing analytics Ability to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth Well-rounded skill set in statistics, machine learning, software development, and project management Advanced knowledge of SQL, Python and R, and experience writing code in a collaborative environment Familiarity with business intelligence tools like Looker and Amplitude or similar What We Offer: - 4-day work week with Fridays off - Competitive salary (we leverage market data) + stock - Employee stock purchase plan - Flexible PTO (take the time you need) + 13 company holidays (US offices) - Paid Sabbatical after 3 years of full time employment  - Generous paid parental leave for new mothers and fathers  - Medical, dental, vision, 401k, life and disability insurance offered - We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth  - Voted “50 Most Innovative Companies of 2020” - RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021 - 2021 FORTUNE Change the World Finalist We believe diversity, inclusion and belonging is key for our team. At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.  This position is remote eligible in the following states: AL, AK, AZ, AR, CA, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, WV, WI, WY

Senior Or Staff Data Scientist Spotify Advertising

Spotify

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business. We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Senior and Staff levels. Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus: -User facing advertising product development -Client facing product development for advertisers and publishers -Platform and machine learning engineering performance -Product marketing -Sales and operation -Strategic research What you'll do Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation Communicate data-driven insights and recommendations to key partners Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success Build lasting solutions to surface critical data and performance metrics Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products Develop individually to continue to grow your impact, and help mentor peers and early career colleagues Who you are You have 5+ years experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area. Based on your experience and expertise we will match you to one of two levels during the interview process - Senior Data Scientist or Staff Data Scientist.  Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses. You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, R, Python, Pandas)Data visualization (such as Tableau, D3, ggplot, Looker) Experience performing analysis with large datasets Strong understanding of statistics and machine learning You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis. You are capable of solving very loosely defined problems. You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms. You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team Where you'll work We are a distributed workforce enabling our band members to find a work mode that is best for them! Where in the world? For this role, it can be within the Americas region in which we have a work location Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here. Working hours? We operate within the Eastern Standard time zone for collaboration Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.

Data Scientist Spotify Advertising

Spotify

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business. We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Associate/Data Scientist level. Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus: -User facing advertising product development -Client facing product development for advertisers and publishers -Platform and machine learning engineering performance -Product marketing -Sales and operation -Strategic research What you'll do Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation Communicate data-driven insights and recommendations to key partners Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success Build lasting solutions to surface critical data and performance metrics Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products Develop individually to continue to grow your impact, and help mentor peers Who you are You have experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area. Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses. You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, Python, Pandas) Data visualization (such as Tableau, D3, ggplot, Looker) Experience performing analysis with large datasets Strong understanding of statistics and machine learning You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis. You are capable of solving very loosely defined problems. You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms. You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team Where you'll work We are a distributed workforce enabling our band members to find a work mode that is best for them! Where in the world? For this role, it can be within the Americas region in which we have a work location Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here. Working hours? We operate within the Eastern Standard time zone for collaboration Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.

Senior Data Scientist Performance Platform

Spotify

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business. At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the product for our business. We are currently recruiting for a number of data science roles within the Spotify Ads Platform team. This team builds and maintains our various ad formats, and the systems that enable these ad formats. We answer questions such as, when is the best time to serve an ad, what is the best ad for this user at this time, how does this ad impact the user experience, and more. Our goal is to create an awesome ad experience for our listeners, while also bringing values to our advertisers. We are looking for experienced Data Scientists to join us at the Senior Data Scientist / Data Scientist level. What you'll do Perform analyses on large sets of data to extract practical insights, to understand how our users experience ads, and use these insights to inform product development.  Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation Communicate data-driven insights and recommendations to key partners Work closely with cross-functional team of engineers, user researcher, product owners, designers and business decisions makers Who you are You have experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas Based on your experience and expertise we will match to one of the two levels during the interview process: Senior Data Scientist or Data Scientist You have the technical competence to perform more advanced analytics: coding skills for analytics and data extraction (such as SQL, Python, Pandas, R) and Data Visualization (such as Tableau, ggplot) You have experience in a/b testing, ideally in a product setting You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis You are communicative with a wide range of xfn partners: able to explain complex concepts to non-technical stakeholders, able to conduct deep discussion with engineers You are comfortable with ambiguity and fluidity: Being able to define and give shape to projects where the problem needs to be refined, being able to adapt to changing context Where you'll work We are a distributed workforce enabling our band members to find a work mode that is best for them! Where in the world? For this role, it can be within the Americas region in which we have a work location Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here. Working hours? We operate within the Eastern Standard time zone for collaboration Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Global COVID and Vaccination Disclosure Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.

Data Scientist Statistics Usa

Olive

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow. Job Overview:This Data Scientist will extend Olive’s track record of innovation and disruption as part of our in-house Ventures studio, where we build out new companies to hyper focus on specific solutions with independent market opportunities. As the lead Data Scientist on the team, you will work directly with our founders to pioneer cutting-edge models and applications, putting a wide array of data to work for healthcare customers. You’ll benefit from access to a wealth of established technology and expertise within Olive itself as you drive development of novel models to power our founders’ vision and products.Olive Ventures (OV) builds and launches new companies to solve challenges in healthcare that are not addressed by Olive’s direct offerings. OV is a part of the Olive ecosystem and is able to take advantage of Olive technologies and the Olive platform while introducing new innovations and business models. OV includes a team of people across disciplines that work with new company founders to develop their solution. This team includes investors, research analysts, business development, marketing, design, data science and engineering. Essential Duties and Responsibilities: Employ machine learning and statistical modeling to create and enhance data driven products and solutions for startups in our Venture Studio Work with a variety of data science tools, methods and programming languages Ensure data quality throughout all stages of acquisition and processing, including areas such as data sourcing/collection, ground truth generation, normalization and transformation Work with Big Data and transform complex datasets into more usable formats Analyze and extract insights from internal and external data Collaborate with internal stakeholders to solve complex problems Perform thorough literature review of related technologies and methods, and make well-informed decisions on how to blend existing work with novel development Bachelor’s degree in Statistics, Decision Sciences, Applied Mathematics, Economics or equivalent combination of training and professional experience 3+ years of hands-on experience with relational and unstructured databases 5+ years experience with machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis across a variety of models and domains Proficient in data science tools and programming languages such as Python, R, SQL, Tableau, ideally with experience transitioning these into production/customer-facing applications Experience with graph modeling and/or process mining is a plus Experience with cloud-based databases and workflows (AWS, Google Cloud, Azure, etc) Ability to partner and innovate amazing products with a very diverse team of founders, engineers, data scientists, operators, and customers Passion for building “zero to one” technology and products, and rapidly iterating in a fast-paced startup environment Excellent analytical, decision-making, problem-solving, team, and time management skills Confidence and ability to develop well-founded opinions on how to solve a variety of ambiguous problems without a great deal of guidance Positive outlook, strong work ethic, and responsive to internal and external clients and contacts Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve Sense of ownership and pride in your performance and its impact on company success At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options

Lead Data Scientist Clinical And Risk Modeling

Oak Street Health

Description Company: Oak Street Health Title: Lead Data Scientist Location: Chicago, IL / Remote Company Description Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit  http://www.oakstreethealth.com. Role Description Oak Street Health is looking for a lead data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. As a lead data scientist you will be responsible for guiding a team of data scientists and analysts in developing and refining heavily utilized models such as DataIQ (link). In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production. Responsibilities Lead our care and risk modeling team through design, development, and deployment of new functionalitiesFunction as a thought partner for business stakeholders to determine impactful applications of statistical analysis and machine learningIterate with clinical and population health partners to tailor models and tools to address program requirementsWrangle and analyze large structured and unstructured datasets in a highly repeatable fashionWork closely with other development teams to create the platform vision and evolve the product roadmapDevelop and mentor a team of junior data scientistsDemonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude What we’re looking for Minimum of 5 years of healthcare or life sciences data science or analytics experienceMinimum of 2 years of technical mentoring experienceExcellent command of data science libraries in Python Experience with model productionalization lifecycle (Assessment, Deployment, Monitoring, Retraining)Extensive experience with SQL-based relational databases Understanding of the use and misuse of statistics for causal inferenceExcellent problem-solving and analytical skills US work authorizationSomeone who embodies being “Oaky” What does being “Oaky” look like? Radiating positive energyAssuming good intentionsCreating an unmatched patient experienceDriving clinical excellenceTaking ownership and delivering resultsBeing scrappy Why Oak Street? Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as: Collaborative and energetic cultureFast-paced and innovative environmentCompetitive benefits including paid vacation and sick time, generous 401K match with immediate vesting, and health benefits Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers.

Data Scientist Initiatives

Unbounce

Join Unbounce and help the world experience better marketing. We’re a people-first, customer-obsessed company focused on helping employees do their best work. Our landing page and conversion intelligence platform empowers digital marketing teams and agencies to launch campaigns, increase conversions and get significantly better ROI on their marketing spend in a way that nobody else does today. We are looking for a Data Scientist to help us blaze some trails and lead our growing efforts in data science and machine learning. You’ll work as part of the Initiatives squad within our Data Products team, combining techniques in deep learning, NLP and more to deliver innovative production machine learning features to our customers. What you’ll be doing: You’ll be part of a diverse, cross-functional team of Data Scientists, Machine Learning Engineers, Data Analysts, Product Managers and UX DesignersYou’ll focus on driving machine learning in a variety of areas focused around empowering our customers to create high converting content, optimize their ad campaigns, and provide data-driven insights to increase their ROIYou’ll be exposed to a wide array of machine learning areas, such as cutting-edge NLP utilizing attention-based and generative models, image analysis and reinforcement learningYou’ll help Data Products plan its overall strategy, vision and planning A little bit about you: 2-4 years of experience working with machine learning and data scienceProficient with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, NumPy, scipy)Experience with one or more deep learning approaches (NLP,  machine vision, generative models) and proficiency with a deep learning framework such as PyTorch or TensorFlow.Relational databases (we principally use MySQL and Postgres)Agile development, version control, software development best practices, and code review processesYou can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systemsYou are not afraid to ask questions to find the best solution and are equally unafraid to have your ideas challenged. You have a strong passion for learning and acquiring knowledge and are humble in your endeavours to become a better Data Scientist  What’s in it for you: A remote-friendly office with flexible hours - for this role we will consider all applications from those based in Canada with the option to work from our Vancouver office 4 weeks vacation plus Christmas holiday closure - you're entitled to the week of Christmas off with pay through to and including Jan 1st Vacation bonus - $1,000.0012 personal wellness days (This includes: personal day, moving day, sick day, etc)Health and wellness budget  - $500.00WFH allowance - $500.00A paid day off for your birthdayOne paid volunteer day per yearAll Unbouncers are encouraged to dedicate 10% of their time to Pro-D time Please note that we currently do not have a legal entity set up to operate as an employer of record in Quebec. We thank you for your consideration but we are unable to accept candidates from Quebec at this time. Share our values: CourageAmbitionBeing RealEmpathyDiversity Unbounce Welcomes You to be YOU! At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you do this – when you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others – we learn from each other, we innovate, and we co-create an environment where Unbouncers can do the best work of their careers. We’re bolder and more brilliant together. We’re dedicated to ensuring each Unbouncers feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique. We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement. Please let us know if you require any accommodations or support during the recruitment process.

Data Scientist Lead

Usaa 689Aeaa2 Edab 4Bdc 8C07 097Cc2D092C8

Purpose of Job We are seeking a talented Data Scientist Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work in a 100% Remote Work Environment. Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought leaders to ensure enterprise has access to cutting-edge thinking and technologies. Job Requirements About USAA USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. Primary Responsibilities: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential business solutions. When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses. Minimum Requirements: Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. Preferred Experience: Experience in Natural Language Processing and/or Computer VisionExperience in building advanced analytics for a Bank product, preferably Mortgage Banking.Strong project management skills.Experience working with and guiding junior data scientistsExcellent communication and storytelling skills. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location). Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. *Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals. Please click on the link below for more details. USAA Total Rewards Relocation assistance is not available for this position. #FSB

Data Scientist

Coinbase

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries. Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Ready to #LiveCrypto? Who you are: You’ve got positive energy. You’re optimistic about the future and determined to get there.  You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.  You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow. You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job. You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission. You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning. You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. What you’ll be doing (ie. job duties): Measure business performance, develop core metrics and create dashboards to track and understand them. Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.  Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions. Synthesize data learnings into compelling stories and communicate them throughout Coinbase. Act as a strategic partner to functional teams and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations  Prototype new analytics & machine learning models that improve both our insights and the product directly. Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team. Lead analytics projects to completion. Work with the broader Data team to find ways to scale our insights through better systems and automation. What we look for in you (ie. job requirements): 4+ years relevant experience Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Understanding of statistical concepts and experience in applying them. Experience in data analyses using SQL. Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl). Be able to independently create plans for analytics projects and  build collaboration within the team. BA / BS degree or equivalent practical experience Nice to haves: Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage. Previous experience working with financial services data is a plus. Experience with Looker, Tableau or other business intelligence platforms. Domain experience in product, marketing, growth, or other business analytics areas. Experience manipulating large amounts of structured and unstructured data. ID:G2206 Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

Data Scientist Europe

Leadfeeder

Leadfeeder is a fast-growing international SaaS scale-up, headquartered in Helsinki, Finland. We are an international remote team of 130+ members from around the world. We've developed an online service which automates sales lead generation for B2B companies. Our 50+ strong in-house, all-remote engineering team is responsible for developing new features, and otherwise improving and maintaining the Leadfeeder product. We are organised in feature-oriented, cross-functional squads. Each squad is responsible for specific features of the product, and works tightly together with high autonomy. We pride ourselves on keeping apps working smoothly, and the codebase tidy and well-tested. We dedicate time for upgrades, refactoring, and overall improvements for developer productivity and happiness. As a Data Scientist, you will be joining the R&D to own everything related to product analytics there. Your main focus will be analytical support for the Data Quality Tribe, which is responsible for traffic identification, the core functionality of Leadfeeder. You must reside in Europe, yet the exact location doesn’t matter as Leadfeeder is a remote company. Responsibilities As a Data Scientist concentrated on Data Quality analytics, your tasks would include (but no limited to) the following: Implement machine learning techniques into Leadfeeder’s core technology offering Communicate design of data and machine learning solutions to your teammates Work alongside the Tribe members to develop mission-critical KPI's Create dashboards and reports for key areas of the Data Quality Partner with engineering to create and assess product experiments Help growing a culture of measurement and metrics Investigate the causes behind unexpected metric fluctuations Develop models to automatically detect anomalies Requirements Excellent SQL skills Good understanding of statistics behind A/B testing and regression analysis Experience with BI/Visualization tools like Tableau, Qlik or similar Basic understanding of APIs Some programming skills (Ruby, Python etc.) Good understanding of machine learning techniques Strong English language skills, both written and spoken Benefits The chance to work with a very knowledgeable, high-achieving and fun team An international and diverse work atmosphere The opportunity to work remotely in a fast-paced and results-oriented startup environment Personal budget for home office improvements Company hardware or monthly financial support for using your own equipment Flexible working hours Access to weekly yoga / fitness / meditation classes online Mental Health support Bi-annual company retreats Apply for this position See other positions →

Analytics Research Manager Heor

Happify Health

About the Role At Happify Health, the Health Economics & Outcomes Research (HEOR) team is critical to developing and communicating evidence to support economic value propositions to payers, employers and healthcare systems. The Research Analytics Manager will be supporting HEOR evidence generation needs for Digital Therapeutics and Care Delivery solutions. We are looking for a versatile candidate who has strong tactical execution skills that can implement HEOR data analytics strategy. If you are passionate about enabling access to mental health care through generating evidence by designing and implementing innovative HEOR analytical studies, Happify is the place for you. This job reports to the Director of HEOR. #LI-Remote Responsibilities Responsible for conducting statistical analysis to explore economic impact of Happify solutions on real-world health utilization (disease incidence, treatment patterns, costing, etc.) combining various data sources (i.e. claims data, clinical trial data, real-world user data) Generate evidence related to quantifying the economic burden for chronic disease states of interest analyzing administrative healthcare data, such as Medicare or commercial claims data. Prepares research results and written summaries to internal teams or clients, and for journal publications. Supports initiatives to improve efficiency/standardization across all projects..  Evaluates complex statistical/programming issues, and oversees implementation of rigorous data quality assurance plans; collaborates and/or communicates with internal teams to resolve issues. Plans statistical programming activities / timelines to provide project team with guidance on data management and analysis timelines for projects Qualifications 3-5+ years’ experience in designing and implementing statistical analysis to support health services and claims database research (3+ years with a PHD) within the medical device/ Pharma industry (may include time in relevant consulting agencies) Flexible and collaborative mindset with the ability to work in a dynamic environment Strong tactical skills in executing HEOR analytics studies Excellent written and verbal communication skills, with demonstrated success in publishing abstracts and/or manuscripts. Versatile team member who enjoys frequent collaboration and who can also take initiative to work independently; genuinely invested in Happify’s mission and success Proficiency in Statistical Analysis System such as SAS or R required Master's degree or higher in Statistics or Biostatistics or other relevant field with substantial statistical preparation is preferred; strong knowledge of statistical methodology and analysis is required

Data Science Intern

Best Egg

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances.  We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.   The company is a fast-growing fintech that has been recognized numerous times as a best workplace.  If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you. Marlette celebrates diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow. The Data Scientist Intern will be part of the Data Science team and will help create innovative data-driven tools that are used to improve business decisions across the company. Duties & Responsibilities The primary responsibility of the Data Scientist intern will be to develop new machine learning algorithms and models to optimize business decisions.  The intern will: Create and optimize machine learning models to predict customer response and conversion. Sift through thousands of attributes to determine which are most valuable. Create and test new techniques, and algorithms that will improve capabilities across the Data Science team. Explore difficult new problems, addressing feedback loops and performance drift. Requirements Experience in Python and SQL Familiarity with machine learning algorithms as well as data science frameworks such as scikit-learn Working knowledge of statistics and data analysis Preferred Education:  Graduate Level student pursuing a Master's Degree or PhD in Data Science, Statistics, Math, Computer Science, or related field with target graduation in 2023 or later Leadership Comfortable interacting and engaging with colleagues from all levels of management across all business units and external auditors. Demonstrated technical leadership skills including self-direction, coaching and mentoring, getting buy-ins on the models from all relevant constituents. High self-efficacy, highly motivated, well organized, capable of developing and executing a sprint plan, and able to communicate status effectively Effectively collaborate remotely. Culture Ability to succeed within a cross-functional team emphasizing Collective Ownership in a fast-paced environment Be confident and willing to challenge status quo but also willing to concede and execute other’s ideas when necessary Capable of teaching and learning from others to promote continuity of knowledge and personal development Ability to work effectively independently and as a team member Excellent English written and verbal communication skill Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Brand: At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.   Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team. If you are interested in helping us, you can apply HERE

Ai Ml Lead

Co Star

We're looking for an AI/ML Lead to help build Co–Star’s Content Systems. At Co-Star, we create and deliver content in a completely unique way. We’ve built a language generation platform that bridges poetry, NLP/ML, computational linguistics, and astrological algorithms. The tools we’ve built allow our team of creative technologists to take original creative concepts and generate personalized horoscopes for 20M+ users. As the AI/ML Lead, you’ll work in lockstep with a cross-functional team of product managers, engineers, writers, and taxonomists and will guide the work of data scientists to develop scalable systems for generating, classifying, and interpreting text. This role sits on the Data Science team and reports to the VP of Engineering. You’ll help tens of millions of people connect to each other and themselves – through astrology – in real, meaningful ways.  WHAT YOU’LL DO Build new and innovative tools to scale content generation, while keeping the voice and tone of Co–Star intact Evaluate our current data science processes and create a strategy around improvements and scalability Iterate on code and infrastructure to optimize the data organization's workflow Work closely with Product to develop a roadmap that defines a long-term strategy around content systems, while shipping incrementally with as much measurable user value possible  Build, troubleshoot, and integrate data structures across content, backend, and data teams in order to build scalable infrastructure Leverage ML papers (Fan, Reiter) & experimental ML tools (e.g. GPT-3) into innovative products and educate others on their capabilities  WHAT YOU'LL BRING 7+ years shipping content generation or analysis products Expert-level understanding of core principles and modern tooling in data science, including machine learning (eg SK Learn, PyTorch, TensorFlow), data and text analytics, clustering, pattern recognition and extraction, automated classification and categorization, deep learning, and NLP Innovation — you’re a builder and tinkerer. You’ve made robots that do something novel or beautiful  Clear communication, both verbally and in writing A framework for defining code products that solve linguistic problems and demonstrated success in explaining those problems and solutions to others Experience with data pipelines for storage and accessing (AWS Athena, GCP BigQuery) and processing (Athena, EMR, Dataflow, Dataproc) A deep love of the scientific method — you live to question, hypothesize, predict, experiment, and analyze A love of figuring out “hacky” ways of accomplishing things, but the awareness to know when the cheap way is no longer adequate An appreciation for beautiful writing OUR STACK Python wrapper intakes NASA data about where the planets are to find the patterns in the night sky from the perspective of earth  Haskell backend transforms data, gives writers superpowers, and delivers resonant, personalized content Native Swift & Android apps create an incredible mobile experience that feels made-for-your-fingers   AWS infrastructure scales to serve millions of people BigQuery stores terabytes of data to create insight for internal teams Colab provides a development framework for generative text What an NLP professor called a “virtuosic” use of Google Sheets 

Senior Data Scientist

Curology

Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone. Curology is a technology company building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life. To make this possible, we're building tech to power an entire in-house medical ecosystem, covering everything from medical care to provider licensing and pharmacy fulfillment operations. The Data Science team’s mission is to continuously unlock the algorithmic and predictive potential in Curology's data by leveraging best-in-class data science solutions. We do this by proactively digging into our first and third party data, partnering with stakeholders to uncover new opportunities or advance the status quo, and staying up to date with state of the art algorithms and methodologies. In this specific role, you will partner with the Subscriber Growth Product Group. The main objective for this product group is to grow the Curology and Agency subscriber base by implementing product enhancements that enable more customers to realize value from our products. In this role, you will: - Collaborate with cross-functional stakeholders to identify how data can be used to shape product strategies, reduce uncertainty and risk, uncover new opportunities and advance the status quo across the organization. - Perform data exploration and feature engineering using appropriate tools and software including but not limited to SQL, NoSQL, and Python. - Differentiate among machine learning models and explain the role and importance of model validation and accuracy metrics as they relate to the business opportunity. - Build, deploy and monitor sophisticated and state of the art machine learning algorithms at a production level scale - Embody personal accountability and a strong sense of ownership for your work You will be successful if you have: Data Literacy: Ability to leverage data as a resource and its potential applications to drive and build impactful solutions Statistical and Machine Learning Foundations: Comfort applying quantitative techniques to design and deploy models for prediction and analysis Intellectual Curiosity: Eagerness to work and seek out new challenges Organizational Awareness: Exemplify Curology's core values through interpersonal and self-management styles You will love working at Curology because: - Amazing team culture and environment - Awarded Great Place To Work & Inc.’s Best Workplace - Competitive salary and equity options - Unlimited, flexible PTO for exempt employees - Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k - Paid maternity and paternity leave - Free subscription to Curology! - Company-sponsored happy hours and outings Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.

Senior Data Scientist

Shift

About the Role  Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out. We’re looking for an experienced Senior Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.  This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.  What you will do:  Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps. Demonstrate best practices by delivering high quality results to business. Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents. Participate in build v buy decisions. Participate in technical design, project planning and lead development of critical projects. What you will bring: Passion for data, technology and people.  PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.   Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods. Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents. Strong analytical capabilities to translate business problems into data science problems and implemented solutions. Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others. Experience with deploying to AWS SageMaker. Mentored junior data scientists, led projects to the finishing line. Strong experience in SQL and programming in Python or R. Strong mathematical background or computer science.  Advanced ability to perform exploratory data analysis Expert in Statistical Studies Preferred Skills and Experience: Databricks experience Redshift experience  Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.   About Shift We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible.  We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.  We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app.  At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go. Shift is an Equal Employment Opportunity Employer Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.  

Sr Data Scientist

Zapier

Hi there! We're looking for Senior Data Scientists to join the Data Insights team at Zapier. Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks. Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you! If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on… Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Zapier Code of Conduct Diversity and Inclusivity at Zapier About You You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way. You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.  You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis. You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift. You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker. You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques). You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights. You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.  You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed. Things You Might Do Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with: Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics. Drive proactive analysis/research into high-potential green fields. Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market. Ensure all teams have insight to data and can answer their own first-order questions. Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials. Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues. Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R. As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible. Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent. The Whole Package Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more! Zapier offers: Competitive salary and profit-sharing program Equity for All: Stock options (or equivalent) for every Zapien Healthcare + dental + vision coverage* Retirement plan with 4% company match* $2,000 annual learning stipend for use on courses, conferences, and more—your choice Two annual all-company retreats 14 weeks paid leave for new parents of biological or adopted children Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need. Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays Opportunity to work with Zapier’s amazing partners network *While we take care of Zapiens around the world the best we can, healthcare and retirement plans are currently available specifically in the UK, Canada, and United States. How to Apply We have a non-standard application process designed to promote inclusion and equity. We first ask a few questions in our application form that would typically be asked at the start of an initial interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional. After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us. Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people, and do not discriminate based on race, color, sex, gender identity or expression, sexual orientation, religion, national origin, physical or mental disability, military or veteran status, genetic information, pregnancy, age, or any other status protected by local law. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier is is committed to inclusion. As part of this commitment, Zapier will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].

Senior Data Scientist

Intercom

The world’s first customer platform helping internet businesses accelerate growth☝️ Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide. Join the company helping businesses grow revenue through live chat, and so much more. What's the opportunity? 🤔 The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? 🚀 You’ll partner with product teams to help them identify important questions and answer those questions with data You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You’ll build and automate actionable models and dashboards You’ll craft data stories and share your findings and recommendations across R&D and the broader company You’ll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 📖 4+ years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and good knowledge of statistics Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Bonus skills & attributes 🙌 Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Benefits 😍 We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :) Competitive salary and equity in a fast-growing start-up Employer matched pension contribution  Company bonus programme We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.   

Data Scientist

Planet

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is headquartered in San Francisco, California, Earth. About the Role:   Planet is looking for an entrepreneurial data scientist. This role reports to the Head of Analytics and provides quantitative insights to support Planet’s product and technology teams (and beyond). Data science at Planet is not just about making it easy to understand what’s already happening; it’s about strategically understanding opportunities and influencing our roadmap through quantitative analysis of our products, customers, and market. Impact You’ll Own: Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions. Collaborate with your team and cross-functional teams across product, engineering, design, and more to understand and optimize Planet’s suite of products Catalyze innovation by identifying and analyzing opportunities for new products and strategies What You Bring: 3+ years of experience in data science supporting commercial or government software products Strong skills in modelilng, analysis, and/or hypothesis testing using statistical techniques and data visualization Experience with SQL, scripting languages like Python, and business intelligence systems A passion for Planet’s mission to use space to help life on Earth What Makes You Stand Out: Experience with world-class data science teams working in fast-paced, customer-centric cultures A growth mindset and a desire to learn quickly Ability to communicate effectively with technical and non-technical audiences Experience with cross-timezone team coordination Proven problem solving skills Benefits While Working at Planet: Additional company winter holidays and regular global days off Remote friendly work environment Giving back to the community - one day per quarter for charitable work Learning and Tuition Reimbursement Home office budget Employee Resource Groups providing safe and empowering spaces for connection and mentorship Contribution to our growth by offering equity options for employees    Some Press About Us:  Our CEO, Will Marshall featured on TED and featured in a Planet Blog “Planet: Bringing Space Back Down to Earth” Tiny, privately owned satellites are changing how we view the Earth features in NBC News “Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog Why we care so much about Belonging.  We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.  EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.  Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. #LI-REMOTE #LI-DM1

Senior Data Scientist

Angi

Angi® is transforming the home services industry, creating an environment for homeowners, service professions and employees to feel right at “home.” For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for most indoor and outdoor jobs, home renovations (or anything in between!). We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks. Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live. We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes. Angi is an amazing place to build your dream career, join us—we cannot wait to welcome you home! The Team and Role Angi is looking for a Senior Data Engineer to play a key role on the Data Engineering team. The successful candidate will develop and maintain strong relationships with teammates while ensuring delivery of high quality Engineering solutions.  The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. As a Senior Data Engineer, you will be responsible for: Establishing and instilling innovative practices, patterns, and toolkits to deliver enterprise-grade data assets. Interact closely with stakeholders to determine analytics needs and translate those into efficient and scalable data processes Partnering with passionate counterparts to deliver awesomeness and continuously evaluate the best way to deliver short-term and long-term solutions The folks in this role are usually successful when they have experience in: Extensive hands on experience in developing reusable data integration and streaming platforms using Python or another comparable language Broad knowledge of data infrastructure ecosystem Experience with modern cloud database platforms, such as Snowflake or Redshift Strong Analytical and SQL skills with demonstrated strength in data modeling, ELT development, and data warehousing Experience with GitLab, CI/CD workflows, AWS services, containerization (Docker), Grafana, and orchestration tools Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams Compensation & Benefits: The salary band for this position ranges from 160k-210k, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy: work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote