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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 bonus 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].

Lead Data Scientist

Bluelabs

About BlueLabs BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data. Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more. About the Team: The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us. About the Role: Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists. What You’ll Do: Lead the design, implementation, and delivery of analytics products and services Own the predictive modeling process from ingestion to deployment Design and evaluate longitudinal experiments and make recommendations based on the findings Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions Lead research development projects and data science project plans for clients and internal initiatives Ensure team excellence by documenting processes and evangelizing new approaches Work both independently and as part of a team to deliver accurate products on short deadlines Manage a team of data scientists and analysts using your background and experience and help others grow Who You Are: You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.  You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.  What We Are Seeking: 3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others Experience with experimental design and causal inference Advanced understanding of a statistical programming language, preferably R or Python Expertise building predictive models using regression and machine learning techniques Ability to manipulate data with SQL Proven experience creating analytics output within a production-oriented team Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally Experience creating and delivering informative and engaging data visualizations using industry leading tools Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency What We Offer: BlueLabs offers a friendly work environment and competitive benefits package including: Premier health insurance plan 401K matching Unlimited vacation leave Paid sick, personal, and volunteer leave 15 weeks paid parental leave Professional development & learning stipend MacBook Pro laptop Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Flexible working hours Telecommuting/Remote options Pre-tax transportation options  And more!  The salary for this position is $105,000+ annually. While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Data Scientist

Bluelabs

About BlueLabs BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data. Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more. About the Team: The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us. About the Role: Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently. What You’ll Do: Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services Build predictive models, tools, and data visualizations Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions Support research development projects and data science project plans for clients and internal initiatives Strive to support team excellence by documenting processes and evangelizing new approaches Work both independently and as part of a team to deliver accurate products on short deadlines Who You Are: You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.  You can apply variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives You are able to respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button. What We Are Seeking: Experience working in a quantitative production environment or a postgraduate degree in a quantitative field Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) Advanced understanding of a statistical programming language such as R, Python, or Julia Experience building predictive models using regression and machine learning techniques Ability to manipulate data with SQL Experience creating analytics output within a production-oriented team Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally Knowledge of experimental design and causal inference Experience creating informative and engaging data visualizations using industry leading tools In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency What recruitment looks like: We strive to hire efficiently and transparently. We expect to hire this position in June 2022. To get there, we anticipate the successful candidate will complete three interviews and an assessment (HR 15 minutes, technical interview 45 minutes, and team interview 60 minutes), all virtually. What We Offer: BlueLabs offers a friendly work environment and competitive benefits package including: Premier health insurance plan 401K matching Unlimited vacation leave Paid sick, personal, and volunteer leave 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture  Flexible working hours Telecommuting/Remote options Pre-tax transportation options  Lunches and snacks And more!  The salary for this position is $75,000 annually. While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Senior Ai Engineer Ai Scientist

Mythic

About us: Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. The Mythic Analog Matrix Processor (Mythic AMP™) makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over $165.2 million to date, has over 120 employees, and has offices in Redwood City, CA, and Austin, TX. About the role: Mythic’s AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems. This vision comes together on the AI Engineering team, where our expertise is used to develop AI algorithms and models which are optimized for our hardware, as well as to provide guidance to Mythic’s hardware and compiler teams who are building our hardware and compiler platforms. If living at the intersection of AI and hardware sounds exciting to you, this role is for you.  This team significantly impacts Mythic by: • Developing reduced-precision mathematics techniques for neural networks and AI. This includes quantization into 8-bit and below, as well as modeling the impact of analog compute techniques. • Working with computer architecture team on new compute units specialized for AI. • Investigating new features for our compiler that leverage the adaptability of neural networks. • Developing new neural networks that are optimized for our hardware products. This role is not location specific. However, candidates will be expected to keeping working hours in line with either Pacific or Central Time. Here's what you will do Stay up-to-date on literature for neural network training and inference. Develop new algorithms, techniques, and neural networks to optimize AI for Mythic’s hardware. Develop and maintain high-quality rapid prototyping environments for AI. Develop and maintain high-quality production engineering environment for AI. Guide other teams (e.g., Mixed-Signal Circuits, Computer Architecture, Compiler) as to end-application impacts of their design choices. Here's the background we hope you have BS in Computer Science/ML/DL 7+ years of experience with artificial intelligence and neural networks. Comprehensive understanding of neural network fundamentals. Experience with training neural networks with reduced precision or other hardware-based limitations. Experience with programming languages such as Python or C++. The following would be nice to have, but is not required PhD in Computer Science, Computer Engineering, Mathematics, or a related field. Experience working at startups. Understanding of the state-of-the-art in the neural network space. Understanding of creating new datasets and eliminating biases. Experience working with machine learning, applied optimization, and/or statistical learning. Experience creating new computer architectures from the ground-up. Published code portfolio. Publications in the AI and/or AI/hardware co-design space. Experience with CUDA or Matlab. Strong communication skills, both written and spoken, for large and small audiences. #LI-Remote  For Colorado Only: Minimum salary of $113,000 + equity + benefits. Disclosure as required by sb19-085 (8-5-201) of the minimum salary. At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs. Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law. We look forward to reviewing your application!

Decision Science Analyst Senior

Usaa

Purpose of Job We are currently seeking a Decision Science Analyst Senior to join our Small Business Insurance team. This Analyst will work in a 100% remote (Work@Home) capacity. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. 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, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). 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: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (P&C) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (P&C).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. Preferred Experience: Commercial lines insurance experience 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: $97,200.00 - $175,000*( 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 NOTavailable for this position.

Senior Decision Analyst

Usaa

Purpose of Job We are seeking a talented Senior Decision Analyst to join our Marketing Analytics team. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. 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.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). 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: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (Marketing) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (Marketing).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. Preferred Experience: Demonstrated analytical experience to support strategies, manage high impact initiatives and deliver ongoing results within a complex matrix environmentExperience collaborating with key resources and stakeholders, influencing decisions and driving analytics to achieve strategic goals in the areas of marketing, planning, media, to also include incorporating industry practices and emerging trendsStrong knowledge of paid media, member segmentation, acquisition and deepening patterns and their associated impacts on financials (e.g. Product revenue, Pre-tax income) and Objectives & Key ResultsAbility to drive change within processes, to include risk and compliance, process flows and the associated documentation; incorporating those enhancements into ongoing work flows across the marketing team. 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: $97,200 - $175,000*(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.

Decision Science Analyst I

Usaa

Purpose of Job We are currently seeking a Decision Science Analyst I to join our Small Business Insurance team. This Analyst will work in a 100% remote (Work@Home) capacity. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. 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, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy. 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: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (P&C) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years’ experience in data/analytics or functional business experience within the respective industry of responsibility (P&C).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Preferred Experience: Commercial lines insurance experience 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: $72,900.00 - $131,400*( 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 NOTavailable for this position.

Manager Of Computer Vision

Overjet

Overjet is on a mission to improve oral healthcare for all.  Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.  All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Manager of Computer Vision to join us in our journey to build impactful and bleeding edge Dental AI and research.   What you will do Lead a team of talented AI/ML scientists who like to tackle hard Computer Vision and NLP problems in the dental domain and productionalize it. Have the technical expertise to understand and support scientists when making technical decisions, including choosing model architectures and techniques, and labeling and training strategies . Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of incidents. Take responsibility for the team’s short-term and long-term strategy. Define the team's roadmap, success metrics, and priorities in close collaboration with other engineering teams and multi-functional partners. Own your team’s deliverables and ensure we develop scalable, repeatable AI/ML solutions and rapidly iterate on them to delight our users and customers. Be an aggressive source of AI/ML talent and be comfortable closing high potential candidates from diverse backgrounds. Responsibilities Develop and maintain scalable machine learning pipelines for regulated and non-regulated applications Implement and maintain metrics for tracking ML models performance. Design and develop microservices and APIs related to data ingestion, machine learning, and product quality. Seeing through a project from conception to finished product. Meeting both technical and consumer needs. Provide leadership and Mentorship to other team members  Develop and maintain Good Machine Learning Practice (GMLP)   Qualifications 2+ years of experience managing ML Teams 5+ years of production experience 2+ years of experience with Google Cloud Platform (GCP) or AWS Strong knowledge of Computer Vision in some combination of Transformer, CNN, Self-supervised learning, Representation learning, Multi-modal learning and other promising areas.  Recent publications in leading industry conferences like NeurIPS, CVPR etc or medical imaging specific conferences is a strong plus.  Computer science or engineering background with Software Engineering experience; MS or PhD in machine learning or equivalent work experience a plus. Computer vision experience and/or medical imaging experience is a strong plus. Experience building auto-scaling ML systems Experience building tools for ML scientists Experience with database systems including BigQuery, Postgres, MongoDB Strong programming skills in Python

Lead Data Scientist Growth Cx

Facet Wealth

Facet is a fully remote FinTech company with a mission to empower people to live more enriched lives by delivering a new standard of financial advice that elevates expectations across consumers and the industry. We believe that unbiased, personalized financial advice that integrates into every facet of life is essential to living well. People’s financial lives are dynamic and ever-evolving, so we cover everything money touches–from starting a business to buying real estate to your investments and much more. Facet believes financial advice should be delivered with a fresh, human-plus-tech approach, that includes a CFP® professional–the highest certification possible. The Role: As a Lead Data Scientist, Growth & CX at Facet, you will push the limits of our analytics capabilities through research, experimentation, and cutting edge data modeling techniques. You will join the new Growth & Client Experience (CX) Analytics team within Facet tasked with modeling and understanding the financial services market, end-to-end Facet client experience, and the performance of Facet’s marketing campaigns. You will be a highly visible and leading figure at Facet by promoting the benefits of data science across all parts of the company, building a foundation of highly standardized data requirements and models, evaluating new tools and resources necessary to perform diagnostic and predictive analysis, and using your analytics and communication abilities to drive evidence-based change in Facet’s strategy. Day-To-Day Responsibilities: Drive improvement in Facet’s business. As a Lead Data Scientist, you will be responsible for leveraging advanced research and analytics techniques to discover ways to improve Facet’s business. You will proactively identify opportunities and prioritize your work to help Facet achieve its business priorities.Promote the value of data science. As a new function at Facet, you will educate the team on the value and capabilities of modern data science techniques. You will inspire your teammates to ask better questions and teach them to view their work through an experimental lens. You will proactively communicate the importance of measurable processes and controlled experiments to run these programs at peak efficiency, allowing us to get from implementation to analysis quickly while curating clean, properly structured data.Lead research and experimentation. You will partner with Marketing, Sales, CX, and Product teams to plan research and experiments, work with Business Operations and Engineering teams to ensure we collect and replicate all necessary measurements in our data warehouse, model and analyze data, then present results and build self-service reporting to drive improvement in Facet’s Growth and CX programs.Develop and maintain models. You will lead the development of diagnostic and predictive models which estimate the drivers of change in core growth metrics and estimate the impact of future strategic changes. You will leverage advanced techniques to make sense of large, sometimes unstructured, datasets so that Facet teams can proactively identify the needs of our clients at all times and at different stages of the customer journey.Govern the end-to-end analytics pipeline. You will lead prioritization discussions and contribute to documentation from measurement engineering, to replication and modeling, to research and analysis, to insight dissemination and activation.Collaborate on analytics engineering projects. You will contribute to our shared analytics capabilities by partnering with Facet’s Business Operations and Financial Planning & Analysis data teams to develop common, core data models in dbt and leverage shared analysis tools. Basic Qualification: 6+ years of experience in a data science or analytics role, with at least 3 years of experience as a Data Scientist.Strong understanding of core growth and CX metrics including LTV, retention, CAC, ARR, ARPC, usage, and engagement.Strong understanding of market, CX, and UX research processes.Experience working with behavioral data from website and email tracking tools such as Google Analytics, Segment, and Iterable.Experience developing evidence-driven customer segments and models based on demographic, psychographic, and behavioral data, customer journey stage, propensity to buy, product engagement, and sentiment.Proven ability to analyze customer behaviors to identify common pathways, describe usage of website and product features, and identify promotions that impact a customer’s experience.Understanding of warehouse-driven customer data platform concepts, including the development of identity resolution models - creating common identifiers to join customer data across many data sources and produce a single source-of-truth record of a customer’s history and current state.Proficiency with statistical techniques including regression, classification, clustering, dimensionality reduction, and experiment design.A master of SQL.Proficient with Python or R.Experience working with an enterprise data warehouse and dbt.Experience developing and maintaining self-service reports and maintaining dashboards in Looker, Tableau, Google Data Studio, or similar tools.Exceptional organization and documentation abilities.Outstanding communication, data visualization, and presentation skills. Preferred Qualifications: Experience building weighted multi-touch attribution models and researching significant drivers of sales performance.Familiarity with natural language processing (NLP) tools and techniques to analyze call transcripts, chat logs, and survey response data.Experience with diagnostic analytics tools like Sisu.Experience working with campaign, lead, contact, opportunity, contract, task, event, and case data from Salesforce.Experience working with engagement, ad performance, and billing data from Google Ads, Facebook Ads, and LinkedIn Ads.Experience working with survey response data from Qualtrics or Iterate.Experience working with customer data from third-party data providers. Perks & Benefits: $130,000 - $160,000 annual salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees.Equity Unlimited PTOAll the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leaveCertification reimbursement program Work from anywhere in the US Equal Opportunity Employer We’ve consciously built an equitable and inclusive culture where everyone is welcome to bring their authentic selves to work. At Facet Wealth, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our clients and employees. 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.

Staff Data Scientist

Cityblock

About Us: Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country. Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings. In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve. Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.  Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community. Our Values: Aim for Understanding Be All In Bring Your Whole Self Lean Into Discomfort Put Members First For information about the Cityblock Tech team, please visit our blog: https://technology.cityblock.com/   About the Role: Cityblock Health is looking for a Data Scientist to help us conduct deep analysis and build machine learning models. You will work with stakeholders across the organization to develop your own predictive modeling and machine learning intelligence on Cityblock data, and to build innovative, scalable solutions that address key business, operational, clinical, and product use cases.  Your work may inform decisions across our Growth, Market Operations, and Clinical teams or you might develop data-powered solutions for Commons, our digital care management platform. Commons enables our clinical teams to engage with patients, collect data about medical, behavioral and social needs, and develop personalized care plans that drive good health. Your solutions may be deployed as part of product features in Commons or help guide product development for machine intelligence-driven scale. We are looking for a curiosity-driven and solution-oriented team player with a keen interest in people to develop solutions to problems that matter. You are eager to take on the entire model development workflow. You get and prepare data, you build and deploy models. You assess the performance of your solutions and you work with users and stakeholders to ensure that your solutions meet business and product objectives.  We value experimentation and a question-oriented and hypothesis-driven approach to data. We look for an ability to make pragmatic decisions about trade offs as we build reliable and scalable machine learning  solutions (e.g., what to develop now vs. save for a future iteration). We believe that clear communication is key to success, you will contribute to evangelizing the meaningful use of data science and machine learning across the organization. If you’re inspired by such a challenge and are an amazing teammate, we’d love to hear from you!   Requirements for the Role: You have a PhD in a technical or scientific field and at least 1 year of industry experience OR you have 3+ years of experience in a data science or machine learning role You have put models into production You have worked with big-ish data and you are an advanced user of SQL, Python (preferred) or R, and associated packages for data processing and model development You can flexibly choose the right approach, model, and tool for a given challenge You have strong analytical and problem-solving skills. You take a critical approach to data and are mindful of the responsibilities that come with technologies that drive scale You are curious and playful with an ability to handle ambiguity. You enjoy identifying, scoping, and developing solutions with limited guidance, you have good product sense You enjoy explaining complex concepts to technical and non-technical audiences, and you are excellent at it You have a passion for doing mission-oriented work. You value solutions and people over technology   What We’d Like From You: A resume and/or LinkedIn profile  A short cover letter, please!   Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic. - We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.

Data Scientist

Arcadia

Based on the evolving situation with Covid–19 we are mostly remote, this includes the hiring process. We are in the process of moving to a hybrid of onsite and remote with some positions remaining 100% remote. Why This Role Is Important To Arcadia Arcadia’s Office of Data Science supports Arcadia and our customers through development of new and powerful tools based on advanced and predictive analytics. These tools are intended to provide novel approaches to solving problems that are too complex or too onerous to manage through existing technology, but too important to leave inadequately addressed. Our objective is not just to create tools but to also offer direction on how predictive analytics can and should be used, in a way that both supports our customers’ business objectives and directly promotes the health and dignity of the patients whose data are in our care. As a Data Scientist, you are central the success of the mission of the Data Science team. Our Data Scientists have a broad range of responsibilities that both support the continuing growth of our team’s portfolio as well as their own growth as scientists and as professionals. Our expanding set of programs require thoughtful individuals who not only embrace the critical value of effective data analytics but also the value of scientific rigour around their development.  What Success Looks Like In 3 months You’ve been with Arcadia for three months and the “firehose” is starting to let up a bit. Fortunately, you’ve had some time to familiarize yourself with Arcadia’s data tools and capabilities. You’ve developed an understanding of the Arcadia’s standard data model and can now generate data extracts for your own experiments and testing. That involved a number of different directed efforts, many of which had unexpected results. By reviewing those results with your colleagues on the Data Science Team, your understanding of the data relationships has improved, and you’ve also become more comfortable and adapt to communicating and collaborating with the Data Science Team. Under the direction of the team lead, and by applying appropriate literature review and modeling techniques, you’ve developed an initial product prototype ready for validation by and review with the Data Science Team.  In 6 months You’ve been with Arcadia for six months and have become much more familiar with the various teams and structures at Arcadia, allowing you far more independence in seeking advice and consulting on projects. You’ve assisted your colleagues on the Data Science team with a couple analyses and have been asked for your thoughts on some new ideas in development. You have also advanced one of your own initial designs to the stage where it should be ready for high-level review with the Product Team. You’ve been preparing a presentation and talking points with your colleagues in anticipation of that review. You’ve also become more familiar with Arcadia’s complete product and tool suite, which helps you prepare to place you work in the context of the full product suite and has allowed you to have substantive conversations with your team about how your expertise can improve on Arcadia offerings, products, and operations.   In 12 months You’ve been with Arcadia for twelve months and have become far more confident in self-driven research and development. Under the direction of the team lead, you are taking on projects ranging from small updates to complete start-to-finish development. You productively collaborate with Arcadians in new development and responding to existing issues. You are beginning to take on relationships with customers who make use of Data Science products/offerings, with the ability to respond both to requests for support as well as refinement of enhancements to existing products. You are also in the midst of the release process for an offering that you substantially developed yourself, including working with your colleagues to develop user and technical documentation, sales and marketing materials, and internal implementation guidelines, and are having strategic discussions with the Product leadership about what you would like to create in the next twelve months. What You'll Be Doing Building and testing new predictive tools Performing exploratory data analysis on extremely rich health care datasets Evaluating opportunities for new products; Creating effective documents and visuals to share your knowledge and insights with others - Both within Arcadia, among our customers, and to the general public Begin building your own portfolio of tools and programs as a cohesive body of work that will help you grow the team and your own career over time What You'll Bring Familiarity with Python in the context of a complex application, such as statistics, machine learning, or application design Experience using machine learning tools, such as TensorFlow and scikit-learn, and other data science toolkits like pandas and stats At least three years experience in the sciences as a researcher, with personal experience in experimental design, statistical testing, and exploratory data analysis. This can include: Recent (or near completion of) graduate program requiring substantive research in a field requiring quantitative/statistical analysis; Researcher or data scientist with at least three years experience in a program or organization focusing on quantitative/statistical analysis Solid communication skills, including the ability to document and effectively describe work for multiple audiences and generate descriptive figures Desire to think concretely about new fields and unusual ideas The ability to move fast and slow… To take the time to confirm understanding, to consider options, to communicate process, to test results. And the ability to do so and act on those considerations in a limited and defined timespan Familiarity with Excel as a data exploration tool or comfort with an equivalent option Knowledge of professional productivity tools, such as Word, Excel, Powerpoint, etc. Would Love for You to Have Experience and/or knowledge in a field of health care, such as healthcare IT, medical research, or epidemiology Strong capabilities in SQL, Python, AWS tools and git Experience using statistical programming tools such as Python and R Experience in solving optimization problems: both convex and nonconvex Experience in building a product and taking ownership Proven coordination between colleagues and consultation with peers when diving into a project What You'll Get Freedom to leverage the vast array of data science tools on one of the biggest healthcare databases to enhance the healthcare experience Work closely with fellow data scientists and product managers to develop your career Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care A flexible, remote friendly company with personality and heart Employee driven programs and initiatives for personal and professional development Be a member of the Arcadian and Barkadian Community About Arcadia Arcadia.io helps innovative healthcare systems and health plans around the country transform healthcare to reduce cost while improving patient health.   We do this by aggregating massive amounts of clinical and claims data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time.  We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as the market leader in the highly competitive population health management software and value-based care services markets, and we have been recognized by industry analysts KLAS, IDC, Forrester and Chilmark for our leadership. For a better sense of our brand and products, please explore our website, our online resources, and our interactive Data Gallery. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Senior Data Scientist

Angi

The Team and Role  Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools. As a Senior Data Scientist, you will be responsible for: Creating mathematical and data driven solutions for difficult problems at scale Developing, maintaining, and monitoring the performance of production quality code Becoming the domain expert for one business segment in the Angi organization Communicating project results and insights with stakeholders across Angi Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in: Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data Developing predictive models and analysis using R and/or Python Interacting with data using SQL Deep knowledge of machine learning and data mining algorithms Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS Compensation & Benefits:  The salary band for this position ranges 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

Research Scientist

Dreambox

About the Role: As a Research Scientist, you will join a team of researchers developing and iterating on core products and features.  We work closely with Product Management, Engineering, and Design to ideate, execute, and iterate on product functionality to support personalized and accelerated learning.  The ideal candidate has foundational research experience to make meaning out of large-scale, raw data; has an understanding and ability to apply a breadth of methodological tools (ML a plus) to solutionize product needs; and has a nimbleness in working across a variety of research needs to support product development. What You’ll Be Doing: Research projects will support a range of company goals, including developing new product features, understanding impacts associated with changes or enhancements to the product, and evaluation of outcomes associated with external student proficiency. Independently design and implement formative and summative research on assessment and growth of mathematical proficiency. Collaborate on the design and analysis of experiments (i.e. A/B testing or randomized controlled trials) to evaluate the impact of new product features and learning pathways. Conduct analyses of existing data from our extensive data warehouse in collaboration with others on the Research team in support of critical product development initiatives. About You: Master’s Degree (PhD preferred) in Statistics, Data Science, Psychology, Education, or related quantitative field or 2-3+ years of relevant experience Familiarity with Psychometric Techniques or Techniques Associated with Other Relevant Areas of Expertise Strong knowledge of SQL, Python/R, and data warehouse technologies required Strong communication skills of conveying technical information to non-technical audiences A willingness to explore new alternatives or options to solve data issues, and utilize a combination of research best practices, methodological innovations and your experience to get the job done Experience with Tableau or other data visualization tool a plus Experience in education or product research beneficial but not required Must be legally authorized to work in the United States #BI-Remote #LI-Remote

Senior Ml Nlp Data Scientist

Paper

Paper is looking for a Senior Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning and information retrieval.  In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. you will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field. This position can be located in any geography in the US or Canada. Responsibilities: Design, develop, evaluate and deploy ML / NLP techniques. Mine and analyze data from the company databases to create standardized datasets. Develop processes and tools to monitor and analyze model performance and data accuracy. Assess the effectiveness and accuracy of new data sources and data collection techniques. Use predictive modelling to improve service delivery, customer experience, and other business outcomes. Develop custom data models and algorithms. Coordinate with different functional teams to implement models and monitor outcomes. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Qualifications: +4 years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field. Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn). Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob). Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience with putting Machine Learning models into production. Comprehensive knowledge of GCP cloud computing services.  Experience with visualizing/presenting data for business stakeholders. Strong problem-solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Experience using other statistical computer languages (R, MatLab, etc.) to manipulate data and draw insights from large data sets is a plus. Experience using graph learning is a plus. Job perks: Work with a dynamic team that provides support whenever you get stuck. Remote first environment. Annual company-wide meetup. Opportunity for career development with a fast-growing company. A unique opportunity to make an impact by making education more equitable. Stipend to help support the growth of your home office. 24/7 access to Paper for family members K-12.   #LI-Remote #LI-ST01

Lead Data Scientist

Paper

Paper is looking for a Lead Data Scientist to join the growing R&D and Data Science team. In this role, you will be responsible for managing technical aspects of data science projects to ensure the success of delivered solutions. You will spend a significant amount of time designing, planning and executing technical solutions. You will work closely with our applied research scientists and engineers across the organization. You must be self-directed and comfortable providing guidance on applied research projects in Analytics and Machine Learning domains. You are eager to collaborate with a wide range of stakeholders and functional teams. The ideal candidate will have a strong background in mathematics/statistics/computer science or a related field. This position can be located in any geography in the US or Canada. Responsibilities: Identify strategic technical objectives and lead data science technical roadmaps from ideation to implementation. Improve the technical quality of the codebase via developing quality standards, leading training sessions, and enforcing code review processes. Work with stakeholders throughout the organization to identify roadblocks and execute to unblock technical hurdles. Mentor and coach data scientists on the team by providing direct feedback or comments in code reviews as well as leading pair sessions. Lead rituals such as planning and retrospective meetings and backlog grooming to ensure consistent velocity. Manage the team’s workload by controlling technical debt. Collaborate with different functional teams and communicate technical and non-technical decisions. Qualifications: 5-7 years of experience in data analytics and building statistical models, with a Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field. +2 years of experience leading highly technical and analytical teams.  Proficiency in Python and Data science libraries including Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Pytorch, MatplotLib and Seaborn (R and Matlab are a plus). Experience manipulating data and drawing insights from large data sets. Solid knowledge of production infrastructure and pipelines for Data science solutions. Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience working with and creating data architectures. Knowledge of GCP cloud services. Experience visualizing/presenting data for business stakeholders. Strong problem-solving skills with an emphasis on product development. A drive to learn and master new technologies and techniques. Excellent written and verbal communication skills for coordinating across teams. Job perks: Work with a dynamic team that provides support whenever you get stuck. Remote first environment. Annual company-wide meetup. Opportunity for career development with a fast-growing company. A unique opportunity to make an impact by making education more equitable. Stipend to help support the growth of your home office. 24/7 access to Paper for family members K-12.   #LI-Remote #LI-ST01

Data Scientist

University Of Michigan

Apply Now How to Apply A cover letter is encouraged. If you submit one, please attach it as the first page of your resume. The University of Michigan Development Community is committed to growing and retaining a diverse and thriving workforce, demonstrating respect and inclusivity for all. Note:  Remote or Hybrid work arrangement options are available for this position. Mission Statement The Office of University Development maximizes private support for the University of Michigan. Why Work at Michigan? In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include: Generous time off A retirement plan that provides two-for-one matching contributions with immediate investing Many choices for comprehensive health insurance Life insurance Long-term disability coverage Flexible spending accounts for healthcare and dependent care expenses Responsibilities* Reports to:  Director of Data Science and Decision Support Manages:  N/A What you will do: We are a small team of data lovers committed to diversity, equity and inclusion and using data for the common good: helping the University of Michigan improve our world through data-informed philanthropy. A typical work week will include a large amount of programming and algorithm development, a fair amount of data management, and visualization, and some outreach, usability testing, brainstorming, and other tasks. You will gain meaningful insight from messy, real-world data by writing reusable code and developing interactive applications. For the full job description with a detailed list of responsibilities, please click here.  Required Qualifications* A commitment to diversity, equity and inclusion in the workplace. Bachelor's degree or equivalent combination of education and experience. 3+ years experience with demonstrated competencies in information retrieval, computer science, data analysis, or similar fields. The desire to do serious data munging and data wrangling (at minimum, we expect demonstrated experience with SQL plus knowledge of another data preparation language). Experience turning data into action, emphasizing the ability to understand and use large datasets representing complex phenomena to present findings. The ability to summarize and translate data into meaningful stories. Curiosity and commitment to teamwork. Exposure to developing interactive, reusable and self-service online analytics tools. Familiarity with, or interest in learning, multiple machine learning and data mining concepts and techniques. Exposure to cloud-based analytics tools. Additional Information To be considered for this position, applicants must be currently eligible to work in the United States without requiring university sponsorship for continued employment. For additional information about this position and to review other current openings in Development, please visit our website at: https://leadersandbest.umich.edu/careers/home Application Deadline Although the Posting End Date may indicate otherwise, this job may be filled and closed anytime after a posting duration of seven calendar days. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. U-M COVID-19 Vaccination Policy COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.

Senior Data Scientist

Textio

Note: We support 100% remote work for applicants who reside in the following states: California, Colorado, Hawaii, Illinois, Massachusetts, New York, Oregon, Texas and Washington. Textio's mission is to build software that creates understanding between people. Our category-defining augmented writing platform has transformed the way that thousands of companies write and hire, and now we are looking for a creative, curious, and experienced Senior Data Scientist to join us. Are you passionate about creating meaningful business guidance from analytics data? In this role you will help evolve our analytics strategy by partnering with a welcoming and collaborative team of data scientists, engineers, product managers, and others, in order to advance Textio's quantitative understanding of our users, product, and business. Textio is a phenomenal place to build, learn, experiment, and deliver impact as a data scientist! Insights from your analyses will power strategic company decisions, product direction, and the stories that Textio shares with the world. You will measure the quality and impact of current and future Textio features, build end-to-end analysis workflows, turn ad-hoc insights into data products, and directly bring value to customers through your work. What you'll be doing: Partnering with colleagues to understand Textio's analytics needs, developing strategies to address them, and translating results into operational, product, and customer impact Leading development of product instrumentation, metrics, and experimentation capabilities Designing, creating, and maintaining self-service analytics/BI solutions and the data sources and pipelines that back them (using tools such as Python, SQL, Tableau, Mixpanel, AWS, etc.) Strengthening Textio's data-driven culture through mentorship, cross-functional partnerships, and technical leadership We'd love to hear from you if you: Have 4+ years creating precise, interpretable, inventive, and repeatable analyses strongly guided by business context Enjoy discovering the narrative in a complex data set using scripting, statistical inference, modeling/machine learning, and visualization Revel in helping teams define and track their success metrics, and better understand how their work bubbles up to overall company success; bonus if you have this experience while supporting a SaaS product Have a proven track record of mentorship and technical leadership, and enjoy investing time in the growth of your colleagues Have demonstrated experience mapping ambiguous problems into clear plans that enable collaborators to take concrete steps alongside you Channel your curiosity into initiative to dive in, explore the data, ask questions, and figure things out Communicate your point of view but are low ego Benefits We are building a truly diverse, equitable, and inclusive engineering team, and we have outstanding benefits to support our team members. We are a fully distributed team. Without a central office, everyone's on an equal footing wherever you're based. Our positions are open to residents of California, Colorado, Hawaii, Illinois, Massachusetts, New York, Oregon, Texas, and Washington. We offer flexible schedules and unlimited time off. We’re about long-term growth and success, so that means working sustainably. We provide outstanding health care, dental, and vision coverage for you and your family. Paid time to volunteer at non-profits. If you volunteer enough, we'll match your hours with donations. On demand mentoring with Bravely. The base salary range for this role’s listed level is currently $151,500 - $218,500. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. We will provide more information on our benefits and equity upon request. Disclosure as required by the Colorado Equal Pay for >Equal Work Act, C.R.S. § 8-5-101 et seq. Textio embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Textio will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require accommodation please contact [email protected] or (206) 492-8337 ext. 785. Working at Textio is outstanding. Learn more about our philosophy, benefits, and team at https://textio.com/careers/. Reach out and share your story with us!

Vp Data Science

Quizlet

About Quizlet: Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.   Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.   Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.   To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools. With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.  About the Role: In this exceptional leadership opportunity, you will lead Quizlet’s Data Science team to directly impact how the world learns. Data science and machine learning research from your team introduces new algorithms to Quizlet’s learning, content understanding, search/suggestion, and monetization areas. Core user and product analysis, KPI development, metrics innovation, and experimentation enable us to learn what works best for Quizlet learners and subscribers as we experiment with different ways of packaging and selling. You will pursue these challenges as a data science thought leader and key executive partner in Quizlet’s Engineering organization. In addition to leading a world-class team, you will influence business and technical strategies to help us solidify Quizlet’s top spot consumer study tools and assignment help and continue our quest to revolutionize learning worldwide. The preferred location for this role is San Francisco, CA; however, all U.S. Remote applicants are encouraged to apply. In this role, you will: Participate in Quizlet’s executive team: help set product and business strategy, represent learning science, data science and machine learning, initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions Inspire and lead your team to research and deliver strategic, innovative, learning science-backed and machine learning-based approaches to improve learning with Quizlet and the growth of our business Lead strong partnerships with Quizlet’s product management, engineering, design, marketing, and content teams Guide ongoing product decisions especially bringing confidence to long-term investments Continuously help Quizlet improve understanding of our users in many global markets Develop and evolve strategic roadmap for online learning capabilities and content understanding Partner with product development teams to deliver actionable and significant insights on areas including users, growth and monetization Grow and expand your expert team with an eye toward diverse and forward-pushing skills that span learning and cognitive science, machine learning, data science and analytics methods, data engineering, and experimentation Instill an inclusive team environment that is innovative and collaborative What you bring to the table: A deep technical background in applied data science, spanning some or all of statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics Skilled at operating in a cross-functional organization where your teams need to collaborate and integrate with other teams across several disciplines Experience building and leading teams to drive science-backed consumer product growth with machine learning at Internet scale Exceptional communication skills and are articulate with both technical and business partners; you create effective frameworks to aid the discussion of complicated topics, are an active listener, and naturally conscious of who needs to know what and proactively seek to share important context accordingly Enthusiasm towards having a strategic impact at an executive level, including interacting with other leaders on complex issues and applying strong judgment and analysis toward important business decisions Experience with the creation and evolution of company-critical KPIs  Proactive and passionate about organizational topics including DEI and the growth & development of individual contributors & people leaders Experience building and leading a data science organization of at least 20 members among multiple teams Bonus points if you have: Completed advanced study or research in brain or psychology-related field requiring relevant data science skills Curiosity about learning, learners, and how people learn around the world Excitement to help Quizlet deepen and broaden our product to increase its relevance globally Benefits & Perks: Collaborate with your manager and team to create a healthy work-life balance 20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice) Employer-sponsored 401k plan with company match Professional Development stipend (teach yourself something new) Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice We strive to make everyone feel comfortable and welcome!  We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting, that gives a comprehensive view of who we are!   In Closing: We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.   We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company. Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time Quizlet does not accept unsolicited agency resumes and/or profiles.  Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

Data Scientist Nlp

Fiscalnote

About this Position  Curate, part of FiscalNote, is seeking to hire a full-time Data Scientist.  As a Data Scientist, you will be at the core of our advanced analytics where you will be identifying, designing, and implementing machine learning-based solutions to analyze and model our ever-increasing database of millions of municipal documents. You will be working on a wide range of problems that include data processing, training and evaluating our machine learning models, utilizing state-of-the-art machine learning solutions, and much more. You’ll lead the way in all stages of researching and developing insightful and actionable models and analysis, looking into the future, and becoming an internal and external expert. You will be part of the team that is responsible for the success of machine learning-powered automation at Curate, and you will contribute to actionable insights and build automated systems that deliver our business artificial intelligence (AI) solutions to our customers. About the Curate Team Curate helps businesses efficiently monitor risk and find opportunities through municipal data - at scale. We scan thousands of local government websites looking for meeting minutes and agendas where decisions are made that impact our business customers. Based in Madison, WI the 25-member Curate team works collaboratively to ensure we’re always improving the product for our customers. About You You will be a part of the team that builds statistical, NLP, and ML-enabled services for intelligent data aggregation, manipulation, augmentation, and generation. As a part of FiscalNote, You'll get the opportunity to work at an institution pushing the boundaries of open data transparency, while collaborating with some of the industry’s brightest engineers and data scientists to devise, nurture, and implement cutting-edge solutions to continuously evolving engineering obstacles. What To Expect in this Position: Research and prototype ML & NLP models using the latest AI technologies and frameworks to better and improve Curate’s data review process, such as text extraction, tokenization, NER, POS tagging, and classification methods, as well as enhancing existing models. Work on developing and architecting end-to-end pipelines around our models, such as establishing data standards, evaluation metrics, and KPIs to track overall performance over time. Explore new data sources for integration with current data and new types of analysis, and spend time developing algorithms to analyze patterns and insights from very large datasets. Work with the management team and understand Curate's business needs in order to recommend, prototype, and productionalize new machine learning-based automated solutions. What Sets You Apart: 2-4 years of industry experience (or equivalent) developing machine learning solutions. Advanced degree in Computer Science/Statistics/Applied Math/Economics/Political Science (or related discipline) preferred Practical experience and strong understanding of techniques in machine learning (feature engineering, supervised & unsupervised learning, optimization algorithms, deep learning) and natural language processing (TFIDF, text classification, word embeddings, language models), demonstrated by the ability to dig deep into practical problems and choose the right ML method to solve them Solid Python programming skills to quickly prototype, as well as develop, projects into production. Experience with any modern machine learning frameworks such as Scikit-Learn, Pytorch, Tensorflow, or Spacy is highly desirable. Experience acquired in an academic setting is acceptable. Experience working with large structured or unstructured data sets and running exploratory data analysis. Experience with MongoDB is not required but is a plus. Experience with Databricks is a plus. Good communication skills, including the ability to present and communicate machine learning requirements and issues to non-technical teams. Considering US locations only for this position and time zone requirements may apply in order to address team and business needs. #LI-AW1 About FiscalNote  FiscalNote is the premier information services company focused on global policy and market intelligence. By combining AI technology, expert analysis, and legislative, regulatory, and geopolitical data, FiscalNote is reinventing the way that organizations minimize risk and capitalize on opportunity. Home to CQ, Roll Call, Oxford Analytica, and VoterVoice, FiscalNote empowers more than 5,000 clients worldwide to monitor, manage, and act on the issues that matter most to them. To learn more about FiscalNote and its family of brands, visit FiscalNote.com and follow @FiscalNote.  At FiscalNote, we Lead with Values Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family  FiscalNote is continuing to hire new talent, with all interviewing and on-boarding done virtually due to COVID-19.  New team members, along with our current staff, will temporarily work remotely (unless communicated otherwise).   If your background and experience align with the competencies above, we encourage you to apply so that we can review your experience and learn more about how you can add to FiscalNote’s growth and success. Company Benefits FiscalNote offers competitive salaries, equity packages, and retirement accounts to ensure we’re all FN owners. We work hard, so our open vacation policy helps us ensure you’re getting the R&R you need. We offer comprehensive health, vision, and dental insurance options supplemented by a flexible spending account (FSA). We have a slew of other benefits which you can check out at careers.FiscalNote.com. FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer. FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.

Analyst Ii Data Science Machine Learning Innovation

Liberty Mutual

The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com) The Role As a Data Scientist in Solaria Labs, you will be part of a team working on  challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others. Responsibilities Include Translate product ideas into well-posed data science challenges, and solve them Design and deploy Machine Learning (ML) systems backing our products, including computer vision, NLP, and others Translate and champion our ML capabilities for non-technical audiences Participate in the broader ML community to stay current with the latest techniques and software Job Specifications: Reference: 2022-48436 Category: Data Science Primary Location: Boston, MA Additional Locations: Remote Schedule: Full-Time Salary: USD-$113,400.00-–-$161,600.00-/-Year Education Level: Travel: As Needed

Assistant Director Advanced Analytics

Liberty Mutual

Advance your Analytics career at Liberty Mutual Insurance- A Fortune 100 Company! The Operational Analytics department within GRM U.S. Insights & Solutions is actively searching for a highly motivated Asst Dir, (STP), Advanced Analytics to join the team with an initial focus on Operations Support Analytics. In the near term, this position will be the analytical lead for operational teams that provide support throughout the GRM US value chain. This role will also serve as a point of contact to help manage and coordinate all the analytical work with multiple stakeholders in the Operations function. This person will be required to frame and answer operational and strategic questions from senior management and executive leadership. The ideal candidate possesses advanced analytical abilities and will be able to work collaboratively & independently. Responsibilities Develops analyses based on complex data for a particular business unit/function. Quantifies the competitive performance of the business, evaluates potential operational changes, and designs new approaches and methodologies to solve business problems or improve analytical efficiency. Produces meaningful observations and recommendations through synthesizing data from internal and external sources. Utilizes advanced statistical techniques. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools. Leads own work stream and may manage multiple research projects of moderate to high complexity. Conducts modeling/analytical work which directly impacts profitability, growth, and/or customer satisfaction outcomes. Presents findings / recommendations and leads discussions with senior leadership (VP/SVP) at the department or functional level. Serves as a resource to less experienced analysts Job Specifications: Reference: 2022-49103 Category: Analytics Primary Location: Boston, MA Additional Locations: Remote Schedule: Full-Time Salary: USD-$113,400.00-–-$145,000.00-/-Year Education Level: Travel: As Needed

Data Scientist Enterprise Marketing

Atlassian

Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team The Marketing Analytics team has spent many years blazing new trails to help Atlassian's most important growth decisions. We connect the dots from data and analytics to how our go-to-market teams impact our growth trajectory. We are dedicated to an agile methodology that enables decisions, while still ensuring quality work. We also know the importance of validating assumptions in our data, and we use different types of testing to prove those assumptions. For us, it is all about allowing Atlassian to grow by delivering data in the right way, at the right time, to partners across the company We're looking for an analyst with outstanding technical skills to provide insights on our enterprise-focused go to market efforts across marketing and sales. What you'll do Create analytical insights from our customer and marketing data to bring more engaging go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of our decisions.Create raw data and analysis into well-written content Your background 3+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience in B2B marketing or sales analytics and experience working with a field sales teamExperience collaborating with senior management and translating insights into actionsProficiency in at least one analytics and visualization tool such as Tableau, Looker, Mode, Plotly, etc.

Senior Marketing Data Scientist Monetization

Atlassian

Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team Atlassian is hiring an experienced data scientist for the Small/Medium Business Monetization Data Science team. This team sits within the Enterprise Go-To-Market team and is a group that creates monetization programs and strategies to help Atlassian products unleash the potential of every small/medium business team. Our team focuses on the important moments of a small/medium business's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's CLM organization. What you'll do Become the subject matter expert in Atlassian's small business monetization strategy across our portfolio of products.Work with Marketing Leadership and partners to help guide marketing strategy.Apply causal inference and econometric methods to measure marketing campaign strategies and programs.Coordinate different facts and findings into powerful narratives that have the broadest possible application within Atlassian.Collaborate with numerous analytics and data science teams in addition to partnering with marketing, sales and product managers.Build measurement methodologies and capabilities that have broad application across Atlassian.Promote evidence-based decision-making by partnering with important decision makers and senior leadership.Identify and improve the execution of the full Analytics & Data Science team through standardization of process, authoring new practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture. Your background 5+ years of analytics experience either in technology, engineering, consulting or other relative work experience.Experience within product, marketing, growth, or sales analytics and data science teams.You can write SQL with a preference for well-architected data models, optimized query performance.You are proficient in at least one programming language (e.g. Python, R) and a visualization and business intelligence platform (e.g. Tableau, Looker, Mode).Build incrementally to help support a moving organization.You use data to help go-to-market teams influence company-level outcomes.

Community Marketing Data Scientist

Atlassian

Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Does the challenge of scaling a fast-growing company by powering it with data and reporting excite you? Using your business instincts and technical creativity, you will build tools to automate reporting and produce insights to allow marketing leaders quickly see how our programs are performing. We're growing quickly, so you'll need to develop the processes for delivering data to colleagues across the marketing organization. You'll be a phenomenal fit for this role if you enjoy finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong. Your future team You will sit on our Marketing Analytics team and partner with our Community & Customer Advocacy Marketing team. The Atlassian Community is a growing group of Atlassian power users who participate in our online forum, attend events and promote our products. What you'll do Define and report on funnel metrics to monitor the health and growth of the Community.Use data to understand the role the Community plays in customer experience and the value it has to the Atlassian business.Build measurement frameworks that identify and move customers from engaged users to potential champions to brand advocates.Collaborate with our Community web analytics and Machine Learning teams to experiment and personalize the web experience. Your background 3+ years of experience in data and analytics fieldsAdvanced proficiency in SQLProficiency with data visualization best practices and tools such as TableauKnowledge of marketing measurement techniques (attribution, A/B testing, web analytics) and experience with customer engagement metrics (MAU, retention, CSAT)Ability to bring multiple data sources together to define metrics and create compelling/accurate stories about business performanceExperience collaborating with stakeholders, translating data-driven insights into decisions and actions

Senior Data Scientist Analytics Messaging Experience

Discord

What you'll be doing Partner with engineering, product and operations teams through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean, crisp and performant dashboards that provide the company with timely and actionable information Dive deep into our data to understand our users, their patterns of guild/server usage, and the ways they use our platform to communicate with friends Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes (internal/external) Drive strategic thinking in various areas, including a strong focus in understanding the gaming ecosystem and the various ways we can drive value for gamers of all types! Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on areas 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, along with data assets that drive an understanding and measurement of the metric trees in our areas of coverage 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 experience writing excellent SQL 4+ years of experience building performant dashboards using Tableau, Looker, or a similar software - with proficiency in designing clean crisp visualizations 2+ years acting as a strategic thought leader with partner teams, helping define success metrics, set targets, and design proactive analyses that help the team achieve its goals. 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways A desire to work in a fast-paced environment with many unsolved problems! Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points Experience with audio/video related data Experience optimizing internal processes Interest in the gaming industry Experience with writing production ETL Experience with technical leadership, being the point person for one or more stakeholder groups Experience with statistical analysis using R, Python, or advanced SQL. Passion for Discord New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $14000 year + equity and benefits*Note: Disclosure as required by sb19-085(8-5-20). 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 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 16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days  Paid parental leave (plus fertility, adoption and other family planning benefits) Flexible long-term work options (remote and hybrid) Volunteer time off 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. We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us! Apply Now

Senior Data Scientist Drug Utilization Forecasting

Hophr

POSITION SUMMARY: • Identify opportunities to modernize an actuarial framework with data science model-based solutions. • Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. • Develop complex algorithms and statistical predictive models. • Extract qualitative and quantitative relationships (i.e., patterns, trends) from large amounts of data using statistical and data mining tools. • Work alongside the data engineering team to assess data quality, clean and organize data, optimize data flow and organization of code, production, and scale models. • Apply analytical rigor and statistical methods to analyze large amounts of data using advanced statistical techniques. • Develop an advanced understanding of the current forecasting system, stakeholders, and work products, and identify opportunities for enhancements and support of new initiatives. • Create a new system to measure the forecast accuracy of current systems. REQUIRED QUALIFICATIONS: 3 or more years of relevant analytic experience 3 or more years of experience programming using R, Python, SQL 3 or more years of experience with dimension reduction, machine learning, and statistical algorithms PREFERRED QUALIFICATIONS: Advanced knowledge level for SQL. 3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as sci-kit-learn, ml-lib, xgboost, Keras, etc. 3+ years of experience with general linear models, including regression techniques, ensemble models, etc. 3+ years of experience coding in Python, including PySpark, and Pandas. Experience with time series forecasting and causal modeling techniques. Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, and model drift. Experience with the pharmaceutical or other healthcare domains with large administrative claims datasets including their associated code sets, terminologies, and ontologies.

Senior Data Scientist Care Management

Hophr

Responsible for Optimizing Care Management Experience. • Use strong programming skills to explore, examine and interpret large volumes of data in various forms. • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry. • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. • Collaborates with business partners to understand their problems and goals, and develop predictive modeling, statistical analysis, data reports, and performance metrics. • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization. • Use strong knowledge of algorithms and predictive models to investigate problems, detect patterns and recommend solutions. REQUIRED QUALIFICATIONS: 3+ years of relevant analytic experience. Experience programming using R or Python. Experience in SQL. PREFERRED QUALIFICATIONS: Demonstrates strong ability to communicate technical concepts and implications to business partners. Understands the healthcare industry, specifically Care Management or health programs. Anticipates and prevents problems and roadblocks before they occur. Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources. Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, predictive modeling, and in-depth specialization in some areas.

Senior Data Scientist

Owlchemy Labs

Looking to spread your wings?Join our Google-owned, Austin-based game studio and help us make absurd and highly polished VR for Everyone!We offer an outstanding fully remote working environment focused on collaboration and personal growth, with a positive work/life balance and excellent benefits.Owls in this role role will design, implement, and maintain data analytical tools to facilitate the continued development and improvement of Owlchemy Labs’ games.Responsibilities: Drive the product analytics function by analyzing large, complex application driven data sets to address strategic and operational business questions Develop frameworks, models, tools, and processes to ensure accurate data collection and analysis Provide actionable recommendations and conclusions from game data to shape features, live service and future product roadmaps Apply industry standard data science techniques in the evaluation of project objectives or contributes to the implementation of strategic direction Generally conduct quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification (reports) Assist with analysis of sales data to drive marketing campaigns Develop and communicate reports and deliverables with stakeholders Communicate constructively and clearly with all disciplines Collaborate with owls like QA, Art, Audio, Engineering, Design, and Writing to meet task goals and determine reporting requirements Required Skills/Abilities: Clear and proactive communicator In-depth spreadsheet skill & knowledge Technical familiarity with Unity Strong organizational skills Collaborative and creative-thinking, team-player mentality with the ability to give and receive constructive feedback Required Education and Experience: High School Diploma or equivalent 5+ years of related experience Strong background in Statistics SQL proficiency in one or many (Postgres, Oracle, SQL Server, Teradata) Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java Clear understanding of game development Ability to own, schedule, and manage small projects Preferred Education and Experience: Master’s degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.) Experience in analytical and visualization platforms (Tableau, Qlik, Power BI, etc.) Experience with Cloud Environments (Google Cloud, AWS, Azure) Excellent communicator across a variety of disciplines and levels Appreciation of puns (or at least the ability to groan at them)Physical Requirements: Owls must be able to use virtual reality headsets but are not expected to own one.Position Type/Expected Hours of Work: This is a full-time, work from home, 40-hours per week position. Core hours of work are Monday through Friday, 10:00 a.m. to 5:00 p.m. CT. Travel:For Owls working outside of the Austin, TX area, travel to Austin may be required 4 to 6 times per year. Additionally, we typically encourage owls to attend a conference annually for personal growth and development. For Everyone:We care about creating “VR for Everyone” - and that includes creating a welcoming workplace for everyone. Owlchemy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Other Skills and Responsibilities:This job description doesn’t cover or contain a comprehensive listing of everything you might do at Owlchemy. As a small team of wildly talented individuals, we encourage career growth, exploration, and the wearing of many hats. As such, roles and responsibilities are collaborative and may change or evolve over time based on our needs and your particular skill set. 20 days of vacation to start Unlimited sick days School loan repayment assistance New parent benefits Health Care Retirement Plan Relocation Assistance (should you want to move to Austin, TX!)

Senior Data Scientist

Liveramp

Senior Data Scientist - Measurement & InsightLiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact. Mission: LiveRamp makes it safe and easy for businesses to use data effectively. About this role As a Senior Data Scientist - Measurement & Insight, you will be responsible for supporting the design, development and delivery of measurement solutions that enable customers to derive actionable insights from LiveRamp’s suite of products.  This role is dynamic and diverse, requiring you to be innovative yet logical in applying statistical methods and analytical solutions.  You will support LiveRamp customers and senior members of the team by generating campaign analysis, building attribution models, and creating custom reports and queries that utilize large volumes of data from a variety of sources including digital media, television and first-party CRM.  You will leverage your technical and analytical skills to deliver thoughtful insights that inform client business decisions. To be successful as a Services Consultant on the Measurement and Insights Team, you should be comfortable using technical tools, eager to dive into technical and analytical detail, familiar with statistical concepts, and creative in developing measurement solutions. You will: Become an expert in LiveRamp products and be able to anticipate customer needs and suggest appropriate solutions Collaborate with clients and the rest of the Global Services team to understand client business goals, define an approach, and deliver results Work closely with our largest clients across multiple products to deliver custom analyses and white glove service Apply an analytical approach to problem solving, troubleshooting, and understanding client needs Drive customer discovery sessions to gain a deep understanding of client requirements and leverage platform to deliver results Prepare compelling analytical presentations and effectively communicate statistical and technical concepts to non-technical audiences Identify measurement challenges and develop practical recommendations to solve business problems Provide mentorship and guidance to other team members where necessary About you: Have a Bachelor’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline 4-7 years of relevant experience in an analytical role within advertising, advertising technology, or marketing technology industry 5 years of marketing analytics experience with designing experiments, measuring campaigns and identifying opportunities for optimization and improvement or comparable experience using data and analytics Critical thinking – capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives Strong quantitative and research skills with proven ability to demonstrate data interpretation capabilities in terms of reporting and dashboards Attention to detail and time management delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines Ability to articulate strategic marketing implications of campaign performance results for business audiences with clarity and persuasiveness Hands-on fluency in performing data and statistical analysis using SQL, Python, BigQuery, R, Tableau, and/or others with minimal supervision Proficient in integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions Practical experience with statistical modeling, marketing test design, and audience segmentation Comfortable with and has experience working in ambiguous environments while working in a consultative manner with customers  Exceptional EQ Action-oriented and independent with hands-on experience delivering business results Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions Benefits: People: Work with talented, collaborative, and friendly people who love what they do. Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.  Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. Comprehensive Benefits Package: Medical, dental, vision, life, and disability. Plus, mental health support (via Talkspace), flexible time off, parental leave, family forming benefits, and a flexible lifestyle and wellbeing reimbursement program (up to $375 per quarter, U.S. LiveRampers) Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers) RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located. Location: work in the heart of New York More about us: LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.  California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.  

Data Scientist

Liveramp

LiveRamp is the leading data connectivity platform. We are committed to connecting the world’s data safely and effectively, advancing innovation, and empowering people to do good. Our platform powers customer experiences centered around the needs and concerns of real people, keeping the Internet open for all. We enable individuals around the world to connect with the brands and products they love. LiveRampers thrive on solving challenging problems for the good of humanity—and we’re always looking for smart, kind, and creative people to help us get there.Mission: LiveRamp makes it safe and easy for businesses to use data effectively. LiveRamp is currently ramping up its Safe Haven business in the U.S. and is in need of skilled data scientists who can tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that Safe Haven provides them. In this capacity you will work with vast amounts of data ranging from retail transaction data to online exposure data and you’ll help our customers see the trends and paint a picture of what it all means. You will:● Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insight to support client campaigns, products, or business decisions● Act as an advertising and retail measurement data subject matter expert (SME)● Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)● Collaborate with client and capability teams on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs● Identify data gaps and advocate for additional data sources to meet unmetmarketplace need(s) ●Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions● Be an analytical approach artisan ● Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods● Provide input to Product and Engineering teams on cross-format planning &measurement analysis requirements and possible solution paths ● Prepare and present compelling analytical presentations and effectively communicate(both in writing and verbally) complex concepts to marketing and business audiences● Regularly work with the internal data science teams in engineering to provide input to thedata science product roadmap and bring the knowledge of upcoming advances in ouridentity and products into data science● Be part of the community of customer-facing data science consultants locatedinternationally to share knowledge and ensure consistency across LiveRamp in our datascience related services● Provide mentorship and guidance to other data analysts/scientists where necessary Your team will:Help customers make sense of datasets from across the ecosystem and find meaningful valuein sharing data with Safe Haven. About you:● Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)● 4+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting● 4+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision● 4+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision● 2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling● Solid understanding of current data science best practices and technology stacks● Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations● Hands on experience with propensity modeling, lookalike modeling and segmentation● Understanding of omni-channel campaign measurement methodologies● Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions● 2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner● Experience with cloud computing services such as GCP ● Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines Bonus Points:● Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)● Proficient with the application of analytic methods in digital and mobile channels● Proficient with direct and/or interactive marketing test design● Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques● Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space● Data privacy/security and related governance processes (Privacy Impact Assessment,CCPA, GDPR, etc) Benefits: People: Work with talented, collaborative, and friendly people who love what they do. Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.  Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. Whole Health Package: Medical, dental, vision, life, disability, long term care, accident and critical illness insurance, pre-tax accounts (health, dependent and commuter), and a family forming benefit through Carrot. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace) FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel and entertainment, convenience and security expenses. (U.S. LiveRampers) Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers) RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located Location: work in the heart of Littlerock, AR or Remote More about us: LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.  California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes. #LI-Remote

Marketing Analytics Data Science Senior Manager

Self

About The Role As a Marketing Analytics & Data Science Senior Manager focused on acquisitions, channel strategy, life cycle marketing and marketing spend optimization, you’ll be responsible for coming up with data driven strategy and recommendations to drive growth across multiple products (Credit Builder, Cards, Marketplace, Rents and Bills, etc.)  This role will report to the Director of Marketing Analytics. Detailed Responsibilities: Drive higher acquisitions by continuously providing data driven insights Manage and mentor a high performing team of analysts to deliver high quality projects in a timely manner Collaborate with cross-functional leaders and teams to manage projects and drive growth Help the team to create impactful and intentional analyses and reports.  Assess competitive landscape and leverage insights to drive A/B experiments. Define how to measure success across various teams by creating metrics and KPI’s in partnership with the Marketing team Define channel strategy and leverage marketing mix models to attribute customers to channels accurately and optimize spend across channels, driving down CPA while increasing originations Help improve outcomes for Builders (customers) through segmentation, engagement analysis and experimentation   Ideal Candidate: You are an experienced Analytics leader who excels at leading and growing a team of analysts. You excel at enabling your team to uncover insights to explain business performance, hit targets and timelines, and identify areas of opportunity to grow the business. You have a successful track record of developing people and consider yourself a player coach You have at least 5 - 7 years of Marketing Analytics and Data Science experience You have at least 2 years of people management experience You have experience with techniques such as A/B testing, and quasi-experimentation such as difference in differences, time series analysis, etc. You are high skilled at SQL and have good knowledge of various statistical modeling techniques You finish the work you start, and are comfortable communicating your insights to stakeholders at every stage of the business Bachelor’s degree in Statistics, Finance, Economics or related analytical field and/or extensive industry experience (Master’s Preferred) You have: Exceptional communication and presentation skills; Ability to work both independently and on a team; Strong problem solving and strategic thinking skills You are: Results oriented, Self-motivated, Humble and proactive about asking questions

Senior Data Scientist Credit

Caribou

About Caribou  At Caribou, we’re on a mission to help people save money and take control of their car payments. Caribou does this by using technology to unlock low rates, and people to make the process easy and enjoyable. We offer a fully online application and a dedicated team to walk you through the process. We put Drivers in control. Caribou is a hyper-growth company built by leaders from the technology, automotive, and finance industries. We have grown 20x in the past three years and raised a $115M Series C. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others. About the Role Caribou is looking for a Senior Data Scientist to help develop modeling and quantitative strategies in the Credit space. You’ll work closely with our Credit Strategy team to develop credit-centric productionized models including estimating propensity to respond to mailers and propensity to default on loans, among others. You’re familiar with credit data and best practices in the space, but also can think outside the box to develop novel solutions to major strategic initiatives for the business. You thrive in fast paced environments and have a knack for taking unstructured problems and breaking them down into digestible and actionable pieces. Responsibilities Identify and solve business challenges in the credit space with advanced data science and analytics tools, including audience selection and credit risk Partner with credit, product and engineering to translate business insights into productionalized models to meet business needs Work with product and engineering to set up the necessary pipelines and infrastructure to deploy productionalized models at scale throughout various parts of the business Act as a thought partner to our Credit and Strategy and Analytics functions to develop a winning data-driven strategy This role can be based out of Caribou offices in Washington, DC; Denver, CO; Austin, TX. Alternatively, the role may be based remotely within the U.S. Caribou currently requires that all personnel and visitors to any of its offices are fully vaccinated against the COVID-19 virus.  As a result, candidates must be fully vaccinated against COVID-19 to be eligible for this position (subject to any exemptions or accommodations due to medical or religious reasons). About You We are looking for a candidate with: A degree in a quantitative field like computer science, math, economics, statistics, finance, or engineering 3-5 years of experience in a data science role in the technology or finance space Experience working consumer data (especially consumer finance), including data from credit bureaus Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)  Expert in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas) Demonstrated ability to explain and visualize complex data science techniques to non technical audiences The ability to break down and solve large unstructured problems Independent thinker and self starter How we will take care of you Everyone at Caribou is a valued team member, and we always strive to live up to our value Take Care of Each Other. Our compensation and benefits package includes:  Competitive compensation: 125k - 145k annual salary  Equity in a high-growth company 401k savings program with 3% company contribution Generous paid time off including: 20 days accrued PTO per year, 14 annual company holidays, 16-weeks paid parental leave, bereavement leave, and volunteer day Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance Up to $1,000 per year for eligible professional development expenses Our Core Values We come from all walks of life and are joined together by our shared values, which guide our work. This helps us improve life for our customers, our communities and our team members. See people as people Take care of each other Commit to the mission Move quickly and bravely Get better every day Seek truth Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment. #LI-REMOTE#LI-NH1 #ZR

Lead Data Scientist

Ginger

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!    About the LEAD DATA SCIENTIST at Headspace Health: Headspace Health is a leading organization that brings mindfulness to all members across the globe. We are seeking a Lead Data Scientist to conduct statistical analysis and develop science solutions to drive data-driven decision making across marketing, product, content, and B2B. Initial focus areas include paid media optimization, pricing and portfolio optimization, and content valuation; with the opportunity to conceptualize and develop innovative solutions across all operating areas of Headspace Health. This role will have significant impact and visibility, with the analysis and science models developed by this scientist influencing Headspace Health’s most critical business decisions.   How your skills and passion will come to life at Headspace Health: Leverage technical expertise in statistics, econometrics, and/or machine learning to independently develop innovative and rigorous science solutions Lead projects end-to-end, inclusive of structuring a suitable scientific approach to address a business problem, developing a work plan, building the solution, socializing results with stakeholders, and collaborating with other teams to implement Dive deep to identify business opportunities to improve decision making, and design and develop science solutions to push Headspace Health forward in these areas Build forecasting and causal models to understand the forecasted performance and causal lift/ ROI of business decisions across marketing, product, content, and B2B Be passionate about Headspace Health’s mission to improve the health and happiness of the world What you’ve accomplished: 5+ years of experience in industry developing and implementing data science solutions Bachelor’s degree in statistics, economics, computer science, mathematics, physics, or a related field Experience with propensity models, clustering analysis, time series forecasting, and causal methods How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.   How we feel about Diversity & Inclusion: Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.  As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.  *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.   Headspace Health participates in the E-Verify Program.

Sr Data Scientist

Hypergiant

 **Please Note: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.** Who we are:  At Hypergiant, our work is driven by individuals pushing the boundary and always professionally challenging our clients to think differently. We’re seeking individuals who are both analytical and creative and can help us fuel our motto: Tomorrowing Today. We’re based in Texas and have a strong track record of working with some of the biggest brands around the world in industries spanning retail, oil & gas, energy, aviation, healthcare, and more. We provide large enterprises with cutting-edge advice, bespoke technology solutions, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. Our goal is to work with forward-thinking organizations and to help them understand how Artificial Intelligence will affect their business and their industry. Hypergiant is putting together a world-class team of Machine Learning & AI practitioners and is seeking stellar Data Scientists to join our movement in supporting highly complex DoD projects. Working closely with a small team, the ideal candidate will make impactful decisions on highly sensitive government engagements  At Hypergiant, you will enjoy a unique opportunity to use your creativity both to pursue fundamental research and to apply cutting-edge techniques within applied projects. You will work to evaluate, improve, and develop products for Hypergiant and our clients. You will be responsible for collecting, analyzing, and interpreting vast amounts of client data to identify ways to help their business improve operationally and gain a competitive edge over their rivals. As a Senior Data Scientist, you'll guide research, architect innovative new workflows, and tackle the most challenging problems and most complex data sets.   Responsibilities Design, build and optimize data-driven models using machine learning, and analytical techniques. Design, implement, and manage data science workflows, including processes and standards for collecting, cleaning and regularizing data. Design and implement Computer Vision models Evaluate and recommend 3rd party data science tools and services. Conceive and create insightful visualizations of data and models. Advise on best practices and identify and recommend promising new techniques in machine learning and data analytics. Collaborate with engineers to deploy models into production. Document and present model plans and results, workflows, best practices, and recommendations.   Required Qualifications 5+ years of experience as a Data Scientist. 4+ years of experience in programming in R, Python or similar languages 4+ years of experience in data mining and analytics techniques. 4+ years of experience in Computer Vision. Working knowledge of Generative Adversarial Networks (GAN). Demonstrated aptitude in designing and implementing data driven models using machine learning techniques such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks. Familiar with various Machine Learning algorithms, Natural Language Processing (NLP), and Statistical methods preferred. Proven creative problem-solving skills. Strong written communication skills Must be eligible to obtain Security Clearance for government information systems access. Preferred Qualifications Experience with DoD information systems. Active Security Clearance a plus.   Hypergiant, LLC is an equal opportunity employer. We welcome and encourage diversity in the workplace. We offer a generous benefits package, including company contribution to medical benefits. We offer unlimited PTO. In addition, we offer a fun, flexible work environment, company-sponsored activities, and commit to providing each employee with job satisfaction by addressing core needs. Learn more at hypergiant.com.

Principal Data Scientist

Pagerduty

Why We Need You: As a Principal Data Scientist, you will be responsible for identifying, scoping, and delivering features with a focus on data science and machine learning. You will anticipate data and science-related bottlenecks, suggest escalation and investment wherever necessary, communicate immediate and long-term technical as well as strategic solutions and trade-offs, and will possess an excellent capacity to manage time. In addition, you will demonstrate emotional intelligence as you navigate stakeholder relationships championing data science and machine learning in the organization. If you are technically savvy, innovative, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.   How you contribute to our vision: Key Responsibilities Build data-driven solutions to solve business-critical problems across multiple domains  Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value Drive and Influence leadership to drive more data-informed decisions Provide guidance, technical leadership, and mentoring to other members of the team Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt   Minimum Requirements Graduate degree in computer science, statistics, mathematics, or related quantitative field. You have 8+ years of experience using machine learning for building data-driven product solutions for large-scale systems. Hands-on experience in Python, SQL, and other related tools Have an entrepreneurial mindset to drive research projects to completion with minimal guidance. Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers, and Product Experience working with Engineering teams ensuring a timely delivery Ability to articulate difficult technical nuances to different audiences  Passionate about the field of data science and creating impact in the organization driving strategic data science ROI discussions

Senior Data Scientist City Success

Lime

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!  We are looking for a Data Scientist to join our growing team as we enter a new phase of expansion. The data science and analytics (DS&A) team’s mission is to make Lime sustainable and more valuable, by identifying and steering the business towards opportunities, guiding the organization to make the best possible decisions, and enabling effective implementation and operations. In this role, you will work with product, engineering, and business organization teams (such as government relations and city success teams) to address challenges and opportunities across the company, and support planning the long-term direction for Lime. You’ll set up end-to-end analytical capabilities (pipelines, instrumentation, measurement, and modeling as required) that will feed our data-driven decision-making on which levers to pull according to the business needs. Key strengths of this role include curiosity, motivation, and technical abilities to operate independently and cross functionally in a fast-paced environment. What You'll Do: Define metrics and build data pipelines that make data insights accessible to all Understand performance and key drivers of performance to provide ongoing deep dives that help stakeholders understand and predict business performance Manage strategic and cross-functional initiatives both on an on-going and ad-hoc basis Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers through visual displays of quantitative information Utilize excellent communication skills to work cross-functionally with business leaders, Operations, and Product teams in order to identify opportunities, design, and assess improvements to our business Conduct non-routine analyses, including data gathering, processing, analysis employing advanced statistical and machine learning methods, with ongoing deliverables to improve the quality of Insights About You: Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, public policy or economics). 4+ years of experience in working with datasets and conducting data analysis using SQL. Hands-on experience with data pipelines and visualization tools. Hands-on experience with experiment design, A/B testing, and causal analysis is a must. Ability to work with autonomy in a fast-paced environment, a strong sense of accountability, and attention to detail What We Offer: Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions Scale with a rapidly growing organization, with significant opportunity for growth Play a role in the transformation of urban mobility and sustainability Work with a team of successful, fun and motivated people Competitive salary and benefits In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance. #LI-Remote Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.

Staff Data Scientist Machine Learning

Lime

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!   Data is at the core of every decision at Lime - from designing vehicles, to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.   We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong ML or optimization modeling skills, analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment. What You'll Do: Develop machine learning models in Python that help optimize business decisions. Examples include demand forecasting, routing and labor pricing.  Guide product and strategic decisions with experimentation and in-depth analyses Conduct statistical analysis to extract insights from the data and communicate findings About You: MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields 5+ years of industry experience as a Data Scientist Proficient in SQL and a programming language such as Python Hands-on experience with data pipelines and visualization tools Deep and practical understanding of probability and statistics, including causal inference Solid understanding of Machine Learning algorithms - practical experience building ML models preferred Solid understanding of optimization algorithms - practical experience around vehicle routing problems preferred Ability to communicate technical concepts to a general audience Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment What We Offer: Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions. Scale with a rapidly growing organization, with significant opportunity for growth. Play a role in the transformation of urban mobility and sustainability. Work with a team of successful, fun and motivated people. Competitive salary and benefits. In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $134,000 plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance. #LI-Remote Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.

Data Science Team Lead

15Gifts

About the role We are looking for an excellent data science team lead with the drive and enthusiasm to manage, mentor and inspire our team of data scientists. Data science is at the heart of what we do, from our recommendation engine and our greenfields machine learning projects to our Bayesian experimentation and optimisation. This is a great opportunity to play a crucial role in guiding and scaling our data science team as we move into a period of investment and growth. We work in an AWS, snowflake, dbt, looker, python and fivetran stack and you would ideally be comfortable with these (or similar) and have a strong background and expertise in machine learning, programming and statistics. You should also be able to demonstrate a deep understanding of how these and other techniques can be applied to business problems and generate value. As our data science team lead you will need to be comfortable managing people and bringing out the best in them, confident advocating for your team when required and enjoy fostering best practices. You will also be responsible for planning and managing an internal data science roadmap as well as executing this plan. You will also need to be a part time individual contributor - and be confident taking a project brief and drawing out requirements, designing mvp solutions and getting sign off with the various stakeholders. Combining this with leading a team you will need to be adept at managing your time to execute the plan and/or supporting others in the team to do so. We are looking for someone who is a self-starter, with the ability to see the big picture and understand how our data points are connected. We would like you to use your excellent communication skills to simplify concepts and explain them to others, and be comfortable liaising with people from all levels of the organisation whilst translating their needs and wants into clear requirements. The successful candidate will join our fast growing and dynamic data team and work alongside our data engineers, analytics engineers, and customer analysts to provide the data products and insights which make a difference across the business. To succeed in this role you will need to manage and mentor a high performing data science team which designs, creates and maintains intelligent data products and drives measurable business value.

Senior Manager Data Science

Jungle Scout

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need. Do you enjoy working on models and systems that drive hundreds of millions of dollars in investment, advertising, and product decisions for our customers? Do you get excited designing systems that train hundreds of models per week and serve over 6m predictions per day? Are you interested in fostering a data science culture of experimentation, collaboration, and incremental delivery? Amazing, then you’re the type of person we’re looking for! We’re growing and we are looking to add a Senior Manager, Data Science to our fast-paced and customer-oriented Data team.  Location We’re a remote-first company and looking to hire this person anywhere between the PST - EST timezone. Interested in learning more? Let’s get into the details: In the Senior Manager, Data Science role, you will: Lead full-stack data science teams made up of Data Scientists, Data Engineers, and Machine Learning engineers who own the model lifecycle from end-to-end. Foster a high bar in customer thinking and analytical rigor through selective hiring and mentorship.  Partner with other data teams to ensure your team has the data and infrastructure to be successful. Collaborate with Customer Success and Sales to help tell Jungle Scout’s data story to our customers. Measure the success of your team and their models through a set of KPIs that you create and refine through analysis and experimentation. Contribute to Jungle Scout’s data strategy through analysis, ideation, and collaboration with Product. Who you are:  Leader. You have led multiple data science teams in different problem spaces and can lead projects and teams with minimal guidance. Mentor. Track record of mentoring and promoting high performing data talent. Creative Thinker. You can think outside of the box to solve problems and create solutions for our customers at different levels of sophistication. Analytical. Proven ability to analyze and derive insights from large data sets. Production-Minded. You have led teams that have deployed models at scale through multiple iterations. Your teams have built and deployed MLOps solutions to automate the model lifecycle. Customer Focused. You have a proven ability to frame data science and analytics problems through the lens of the customer. Bonus Points if have: Experience in Ecommerce Experience with AWS Previous hands-on experience building cloud-native machine learning systems About Jungle Scout Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $8 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces. The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX; Vancouver, BC; and Shenzhen, China. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space. We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.  Check us out! We prioritize Diversity, Equity, and Inclusion  At Jungle Scout, 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. Jungle Scout 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. All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.

Senior Data Scientist

Jungle Scout

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need. Senior Data Scientist At Jungle Scout, we are on a mission to empower entrepreneurs to be successful Amazon sellers. We work hard, keep it real and do it all for our customers by providing industry-leading products, education, and content. We’re growing and we are looking to add a Senior Data Scientist to our fast-paced and customer-oriented Engineering team. Location: We’re a remote-first company and looking to hire this person anywhere between the EST - PST  timezone. Interested in helping us innovate and build industry-leading data-driven products for our customers? Let’s get into the details: In this role, you will: Work with stakeholders throughout the company to source opportunities for creating data-driven products Regularly present and communicate insights to high-level business stakeholders Extract mission-critical insights from datasets Innovate and bring creative ideas to building mission critical customer facing products that depend on data science Work with senior business leaders to identify solutions and best practices Create scalable models that drive business decisions and enable our customers’ success Mentor team members in the areas of technical expertise and career building Develop tools to monitor models for evolving performance and accuracy Contribute to best practices around feature extraction, model development, and knowledge sharing among multiple data science teams If your answer is “heck yeah!”, please read on…. You will excel in this role, if you have: Been in the Data Science game for some time. You either have a PhD and 3+ years of experience or your Masters and 5+ years of industry experience. Experience solving nebulous problems using a systematic, analytical approach Proven ability to architect data science solutions to complex problems and delivering solutions in customer facing products A solid understanding of machine learning and applied mathematics in the areas of statistics, linear algebra, optimization techniques, etc Strong programming skills in Python A strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Postgres, Athena, Snowflake, etc…) Experience in end to end machine learning project life cycle The ability to communicate insights through visualizations using libraries such as matplotlib, seaborn, plotly, etc… Experience working with unstructured data Experience with deep learning frameworks such as TensorFlow and PyTorch Are scrappy when extracting useful insights with partial data  A solid experience in working with software development teams and using source version control tools like Git Bonus points, if you have experience: Analyzing big datasets using tools such as Apache Spark Developing and deploying using Docker With some of the AWS services (e.g. EC2, S3, Sage Maker, Cloudwatch) On frameworks for in-production ML code (e.g. Kedro) With accessing data from other datastores in the AWS ecosystem such as ElasticSearch, S3, and DynamoDB About Jungle Scout Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $8 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces. The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX; Vancouver, BC; and Shenzhen, China. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space. We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.  Check us out! We prioritize Diversity, Equity, and Inclusion  At Jungle Scout, 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. Jungle Scout 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. All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.

Sr Data Scientist Ads Experimentation Analytics

Reddit

We are looking for a senior data scientist to be a part of the Ads Data Science team. You will work closely with product managers, engineers, and data scientists to up-level the experimentation capabilities of the ads organization. You have a strong understanding of experimentation, are not afraid to challenge the status quo, and thrive in a cross-functional environment.   Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Responsibilities: Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases. Lead an experimentation council that can approve/guide experiment designs for various product launches. Explore new experiment designs/techniques such as small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business. Liaise with the centralized experimentation team in building infrastructure for budget split experiments and multi-cell experiments. Guide various ads product teams in understanding network effects and novelty effects when running experiments. Track and own the experiment calendar for the ads org. Run biweekly experiment review discussions. Create frameworks for making metric trade-off decisions, especially when they span multiple organizations. An example is ads vs consumer metric tradeoffs. What We Can Expect From You: Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).  2 years of experience with experimentation, preferably for a consumer-facing service/app. 5+ years of experience in quantitative/modeling roles. Proficiency with statistical analysis and programming languages (Python, SQL). Understanding of experimentation and causal inference analyses. Experience with digital advertising is preferred, but not required.

Sr Data Scientist Analytics Growth Retention

Reddit

We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Growth team as Reddit expands its user base and deepens user engagement. In particular, you will be focused on understanding what brings new users to Reddit, what drives Reddit users to keep coming back, and how to transform new user experience. Your work will be critical in how Reddit delivers personalized experiences and nurtures deeper connections between people and their communities.  You will work side by side with a world-class org of Engineering, Machine Learning, 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. As a Sr. Data Scientist, you will be influential in product prioritization and strategic direction. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis. Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. How You’ll Have Impact: Understanding and identifying the levers to create a successful first experience and to deepen user engagement are pivotal to accelerate Reddit’s growth. You will understand how existing features deliver value to our users in order to uncover new opportunities and influence future strategic bets and product vision. What You’ll Learn: You will drive insights in improving Reddit’s onboarding and early retention for a global and fast-growing user base through analyses and experimentation. You’ll be an expert on what people are looking for in online social communities, why they come to Reddit, and how we can create an experience that supports our users’ needs.  What You’ll Do: Partner cross functionally with Eng and Product leads to help define and execute Retention’s roadmap and initiatives Become the analytical expert through exploratory and strategic analyses on onboarding intent and roadblocks and longer-term new user retention levers to influence product roadmaps Generate actionable insights and opportunity sizing to steer product priorities and execution Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards Who You Might Be: 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 product growth preferred

Sr Data Scientist Machine Learning Search

Reddit

Reddit brings hundreds of millions of people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.  We are looking for a Data Scientist, Machine Learning to partner with our Search Relevance and UX teams to drive user and query understanding for Reddit Search. Generating billions of events and terabytes of data a day, we’re in the unique position to revolutionize content discovery on the internet. We are overhauling Reddit’s search and relevancy infrastructure, and we depend on data to make sure that we can trust our decisions and constantly improve the Reddit discovery experience. As a Data Scientist, Machine Learning focused on Search you will help us expand beyond the front page and better connect users to the specific content they care about. If you are curious, excited about measuring user success, and motivated by having an impact on a platform that creates community and belonging for everybody in the world: we want you in the team! You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage people to find communities and content that they love. In addition to strong modeling skills, we are seeking a candidate with solid business acumen who can apply modeling outcomes to strategic product decisions. How You’ll Have Impact: Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Reddit has over 100,000 communities, and a true sense of community and belonging can only be achieved by ensuring we are able to connect the right people to the right communities within that network. Your work on Reddit Search will directly contribute to those efforts.  What You’ll Learn: As the first machine learning data scientist on the team, you will be the expert in helping us identify the best strategies for modeling our users and how to connect those models to real product challenges. You will work side by side with some of the best Data Scientists, Software Engineers, and Machine Learning Engineers 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 that empowers Natural Language Processing (NLP) applications, Information Retrieval (IR) applications, and social network analysis. This is an exciting opportunity to dig into the data behind the “front page of the internet.”  What You’ll Do: Partner cross-functionally with Eng and Product leads to help define and execute Reddit Search’s roadmap and initiatives. Leverage machine learning to help understand and classify user intent with search, and leverage that understanding to improve the Reddit product experience. Be involved in all phases of modeling including ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements. Identify the signals and segments that can be best leveraged to connect users, through Search, to the communities and content that will inspire them to contribute posts or comments. Become a key stakeholder in Search success, improving not only the user experience but how we measure success. Ensure high-quality and trustworthy Search experiment results and ensure that experimental designs lead to action. Collaborate and mentor other data scientists and share modeling frameworks or techniques to elevate the org. Who You Might Be: 6+ years of experience in Data Science & Analytics or a related field, preferably for a consumer-facing service/app. 2+ years of experience focused on a search or discovery product or feature. Proficiency with relational databases (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. Able to design, interpret, and act on A/B experiments. Capable of communicating complicated models to a non-technical audience. Ability to communicate and discuss complex topics with technical and non-technical audiences. Ability to tackle ambiguous and undefined problems.

Applied Researcher Machine Learning

Pointclickcare

For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform.  With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey. For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn. Location: US (Remote) or Canada (Remote) As an Applied Researcher – Machine Learning within the PointClickCare Advanced Technology team, you will work with customers, product leaders, subject matter experts, other highly experienced applied researchers, engineers, or others on cutting-edge research and development projects to address the needs of users in the acute, post-acute, long term and cross-continuum care space to truly transform healthcare. Examples of typical project areas and responsibilities include end to end responsibilities for developing, improving, and validating new machine learning models, working with other researchers to improve and validate the performance of machine learning models, and working with engineers on infrastructure to support the automated deployment and management of models or incorporating models into large scale commercial SaaS products. This role will involve hands-on work in one or more applied machine learning technology areas such as deep learning, machine vision, and natural language processing, or other advanced technologies. Relevant industry experience and Python skills are required. Responsibilities:  ·            Perform research, experimentation, and related engineering to design, build and evaluate machine learning-based models to be deployed into production environments,   ·            Tasks may include (for example) data collection, data cleaning, data analysis, model training, development, and evaluation, and scaling up the system.    Required Experience: ·                Master’s degree or equivalent experience in Computer Science, Math, Physics, Engineering or a related field and experience with advanced mathematics or statistical methods applicable to machine learning. ·                Proven industry experience, through one or more commercial product releases ·                Proficiency in Python   ·                Experience doing data engineering for ML applications, including exposure to database systems and proficiency with SQL. ·                Exposure to building models from big data using modern machine learning packages and data analysis stacks such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK or NLTK  ·                Curious problem finder and problem solver, able to think both creatively and methodically.   ·                Strong interest in applying machine learning to healthcare-related problems and data. ·                Works well with others and independently and comfortable working on a distributed team   Helpful Experience: ·             Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning models is a plus.   #LI-Remote #LI-AV1 It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]  PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

Data Scientist

Paramount

Showtime Networks Inc. (SNI), a wholly owned subsidiary of Paramount, owns and operates the premium service SHOWTIME®, which features critically acclaimed original series, provocative documentaries, box-office hit films, comedy and music specials and hard-hitting sports. SHOWTIME is available as a stand-alone streaming service across all major streaming devices and Showtime.com, as well as via cable, DBS, telco and streaming video providers. SNI also operates the premium services THE MOVIE CHANNEL™ and FLIX®, as well as on demand versions of all three brands. SNI markets and distributes sports and entertainment events for exhibition to subscribers on a pay-per-view basis through SHOWTIME PPV®. For more information, go to www.Sho.com. Remote: Data Scientist Description: Showtime is seeking a data scientist to join the Data Strategy team. This role will report to the Senior Director of Data Science. Working alongside of Analytics & Insights, Consumer Insights, Programming Research, Finance, Consumer, Digital Marketing, Sales, and Product teams. The Data Science team focuses on providing robust analytics that transform billions of customer data points into useful data products and consumer insights that support data-driven decision-making in every corner of our business – e.g., content analyses, programming strategy, subscriber analyses, marketing strategy, forecasting models that influence Showtime’s scheduling and distribution strategy, and dashboards that are regularly used by Showtime executives. About You: You LOVE data: you love exploring the nooks and crannies of data, you love developing pipelines that reliably and efficiently process data, and, most importantly, you love communicating data! We are looking for an individual who has experience creating and maintaining data products, whether these take the form of data-pipelines, Tableau dashboards, or statistical models. Successfully building data products at Showtime will require deep Python experience, writing code as part of a team (Git), and experience using statistical models in a business context. Qualifications 3 + years of hands-on experience developing data pipelines that culminate in statistical models and/or dashboards Strong verbal and written communication skills Experience writing Python (Pandas) and (Git) Experience with media or subscription businesses Experience with distributed computing (PySpark, Databricks) is a nice to have Experience with Apache Airflow a plus Experience with cloud deployments (AWS) Experience building Dashboards (Tableau) is a plus Responsibilities We build and maintain ‘production-grade’ analyses, data pipelines, and statistical models Developing a deep understanding of Showtime such that the candidate will work directly with key partners throughout the company and larger corporation to understand their analytics needs and translate these needs into reliable data-solutions Clearly communicate critical metrics to key partners and data professionals throughout Showtime and the larger Paramount corporation Develop deep knowledge about our data pipelines such that you can communicate the ‘who, what, where, when, how, & why’ of our data Define new important metrics that help Showtime develop a deeper understanding of our business! Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.

Senior Data Scientist

Wish

Company Description Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market. We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place. Job Description At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators.  Our mission is to derive wisdom from data via the application of Data Science. Wish has exciting opportunities for talented Data Scientists on our Buyer Side (Product) data science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU.  Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale. What you'll be doing: Proactively develop insights and ML models to help us drive marketplace supply quality, diversity and merchant services.Improve our Wish Standards algorithm design to drive better merchant quality.Build the listing quality models to determine the content (title, description, image, video) policy and improve buyer experience.Lead the design, analysis, and interpretation of experiments that shape decision-making across the company.Translate the business problems as DS/ML problems and apply those in a large scale production environment.Become the supply data science tech lead to generate knowledge sharing, trainings and consultations for stakeholders, and model documentation.Mentor junior data scientists on how to use more advanced methods and solve business problems. Qualifications Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Operations Research, Mathematics, etc.) with 3+ years of relevant work experience.Working knowledge in one or more areas among: Machine Learning – Classical methods / Deep Learning / Reinforcement Learning, Causal Inference, Statistics, Optimization, Scraping at scale.Expertise in Python, SQL, Airflow, Tableau, and strong coding experience and knowledge to make algorithms scale.Experience with leading data science projects from conception to production.Strong business acumen and able to communicate analysis with clarity and precision.Experience in driving marketplace supply insights and growth a plus. Additional Information Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records. Individuals applying for positions at Wish, including California residents, can see our privacy policy here.

Senior Data Scientist

Samsara

About the role: The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations. This role can be office-based or fully remote in the US and Canada. In this role, you will:  Build and improve the accuracy of ML/CV models, including retraining and optimizing open-source models to solve Samsara-specific problems  Work with petabyte-scale data from Samsara camera and sensor devices to develop new models Research, adapt, and apply cutting edge techniques in CV and deep learning Optimize models for inference on the backend and/or on edge devices Partner with our hardware teams to design devices for optimal performance and cost Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new office Minimum requirements for the role: BS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics) 5+ years experience as a Data Scientist, Machine Learning Engineer, or similar role Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge An ideal candidate also has: PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker) Record of successful mentoring and development of junior team members Experience working with large datasets using distributed computing (e.g., Spark, Hive) #LI-Remote

Data Scientist

Panasonic North America

Job Title: Data Scientist Shift: Monday-Friday Department: Digital Transformation Category: Exempt (Salaried) Approved by: Digital Transformation Job Summary: As a Data Scientist with Panasonic Energy, you will work in a mission-critical and growth-driven environment. You will be responsible for the analyzing massive data sets, building complex models, and proactively identifying problems to support an industry-leading battery assembly line. You will work closely with developers, engineers, project managers, and various other stakeholders to drive significant improvements in efficiency, delivery, resilience, and overall employee well-being across the company. Essential Duties: Note: This position has a remote work option. Leading development of machine learning models/predictive analysis techniques including both repeatable patterns in data and discovering new features that reduce variability in manufacturing process. Understanding business needs and developing methods and tools to find patterns in structured and unstructured manufacturing data. Prototyping and implementing creative solutions for improving battery quality and performance and interface with cross-functional teams to execute the solution. Providing data analysis support to production teams to resolve complex manufacturing process issues.Working closely with other team members from different processes to increase understanding of failure modes, performance, and life expectancy of battery products.Educating other members on statistical analysis and data science. Other duties may be assigned. Personal Protective Equipment (PPE) Requirements: To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator. The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job. Qualifications:  Requirements - Required and/or Preferred Education: Basic: Bachelor’s Degree in engineering, computer science, applied math, or related field. Preferred: M.S. or higher degree in a technical discipline with an emphasis on machine learning. Essential Qualifications: 3+ years of data science experience within industry. Excellent knowledge of machine learning algorithms, classification, clustering, regression analysis, Bayesian modeling, probability theory, and information retrieval.Excellent understanding of manufacturing/engineering principles and capability of combining practical knowledge and results via data mining to optimize product quality and performance and manufacturing process.Proficiency in Python programming language.Proficiency with statistical analysis tools (e.g. JMP, R, SAS). Preferred Qualifications: Familiarity with high-volume automated manufacturing operations. Experience working side-by-side with engineers and other technical members.Strong communication skills and ability to present complex information in an understandable way to both technical and non-technical audiences. Knowledge of or experience using Dash or Tableau. About Us: Panasonic Energy of North America (PENA) is collaborating with Tesla at a massive battery factory near Reno, Nevada which is known for its quality of life and expansive outdoor adventures. Panasonic's role at the Gigafactory is to manufacture and supply cylindrical lithium-ion cells to Tesla for their electric vehicles and energy storage systems. Over the past few years, the Gigafactory has grown to the largest lithium-ion battery factory in the world. Together with our partner Tesla, we continue to revolutionize the lithium-ion battery space and accelerate the world’s transition to sustainable energy and transportation. Our mission at PENA is to make the vision of affordable Electric Vehicles a reality by producing the world’s safest, high quality, and lowest cost batteries.  Through this effort we will create a clean energy society and our products will change society’s use of and perceptions of electric power. In addition to an environment that is as innovative as our products, we offer competitive salaries and benefits. Supplemental Information: Pre-employment drug testing is required. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. without restriction. Panasonic is an Equal Opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law.  All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Thank you for your interest in Panasonic Energy of North America.#LI-Remote#LI-TA1

Senior Applied Scientist I Knowledge Base

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description What’s the role? The Knowledge Base team builds a deeper understanding of our buyers, sellers, listings and entities in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. We produce models, signals, attributes, graphs and structured data that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.  We are looking for an experienced Applied Scientist who can help build Etsy’s next generation capabilities for marketplace understanding. This is a full-time position reporting to the Sr. Manager, Knowledge Base. For this role, we are considering candidates based in U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here. What does the day-to-day look like? Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceBuild user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyersUse representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarityDevelop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonalityWork closely with software engineers, data scientists, product managers, and designersOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualifications Qualities that will help you thrive in this role are: Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: graph learning, reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environments Preferred requirements: An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experienceExperience using Google Cloud PlatformExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems. Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.

Data Scientist Product Analytics

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Job Description What’s the role? Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations. Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making. Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making. Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results. Continually evaluate and refine your technical toolkit; teach what you learn to the team. This is a full-time position reporting to the Peter Goldberg. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here. What's the team like at Etsy?  The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!This position supports Etsy’s International CX group. This is a group that focuses on growing Etsy in non-US markets. What does the day-to-day look like? Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community.In this role, you would partner closely with our International Experience team, whose focus is growing non-US markets.Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.Work closely and collaboratively with Product Managers in International CX to craft a well defined analytics roadmap.Define metrics to ensure robust measurement of product performance.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualifications Qualities that will help you thrive in this role are: 2-4 years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Understanding of the principles of A/B testing, and experience crafting and analyzing experiments.Proficiency in SQL and familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Experience with Looker, Tableau, or other data visualization software is a plus.Desire to advance your technical skill set and to apply new methods to impactful questions.Ability to communicate your insights verbally, visually, and in writing, and care for the quality and integrity of your work.Ability to play a key role on a cross-functional team.Passion for subjects such as experimental design, data visualization, and statistical analysis techniques. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.

Manager Data Science

605

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for a dynamic Manager, Data Science to serve as a methodological and process thought leader, partially-hands-on coder and mentor to our talented team. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly manage and work on a variety of tasks to maintain team and project success. As a Data Science Manager you will be responsible for overall management of your team, talent development, project management, client communications, hands-on coding and cross team collaborationDay-to-day tasks include: Managing, mentoring and growing four direct reports as well as fostering growth of the entire Data Science team Working independently and collaboratively on large and complex data science problems and analyses Applying or adapting methods to new problems, and developing new tools as needed Reviewing and writing code in R/Spark with a keen eye for identifying issues and areas for optimization Serving as a thought leader across methodology, process flow and technical requirements Setting standards for excellence across projects and deliverables Collaborating across teams to improve and productize processes Communicating with clients and vendors regarding needs, solutions and results Working with clients and the sales team to build new business opportunities Bachelor's degree in a quantitative field 5+ years experience (or postgraduate degree plus 3+ years experience) in a comparable field 1+ years managing and mentoring analysts and data scientists to be successful across a variety of demands 3+ years of coding and specifically 2+ years in R/Python/Spark Excellent verbal and written communication skills; a proven ability to cultivate relationships within and across departments; the ability and desire to work well in a highly collaborative team environment; Proficiency with statistics and machine learning techniques and the ability to continually improve current methodologies and processes Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, Shiny, etc. Understanding of machine learning and statistical concepts, including hypothesis testing, sampling, weighting, bias corrections, causal inference, and modeling techniques Excellent project management skills, prioritizing demands to meet overall objectives, improve efficiencies and finding stable threads to explore within amorphous and changing business problems Preferred Skills: PhD, ABD, Masters with experience in a comparable field Domain familiarity with the TV, media, and advertising landscape, media measurement, and the cross-platform / digital ecosystem Experience adapting, implementing, and scaling various machine learning techniques into product Experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote role with office space available on-demand in NYC, Pasadena, or Syosset 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences

Senior Data Scientist

605

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for a dynamic Senior Data Scientist to serve as a coding and methodological thought leader. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Senior Data Analyst you will be responsible for improving methods and efficiencies across the team, project management, hands-on coding and cross team collaboration. A Senior Data Scientist’s day-to-day tasks would include: Working independently or collaboratively on large and complex data science problems and analyses Leading and mentoring fellow analysts and data scientists Communicating with clients to develop analytical solutions within client context Applying or adapting methods to new problems, and developing new tools as needed Collaborating with software engineers to implement methods into production Working with client/sales team to build new business opportunities Master's degree in a quantitative field 7+ years experience (or postgraduate degree(s) plus experience) in a comparable field 4+ years of coding and specifically 2+ years in R/Python Able and excited to analyze large and messy data Strict integrity, able to work with confidential, private, and high-value client information Intellectual flexibility to adapt existing tools, algorithms, methods to new needs Can balance workload across a variety of different projects over the course of a week Find stable threads to explore within amorphous and changing business problems Proficiency with statistics and machine learning techniques and the ability to continually improve current methodologies and processes Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, causal inference Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc. Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations Preferred Skills: PhD, ABD with experience in a comparable field Experience working in analytics in the entertainment industry or in television or digital marketing Experience designing and analyzing experiments Experience analyzing high-dimensional time series or event stream data Experience adapting, implementing, and scaling various machine learning techniques Experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote role with office space available on demand in NYC, Pasadena, or Syosset 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences

Data Scientist

Token Metrics

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models. Responsibilities Consulting with the manager to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Stress testing, performing statistical analysis, and interpreting test results for all market conditions. Documenting machine learning processes. Keeping abreast of developments in machine learning. Requirements Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and R code. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. About Token Metrics Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.  Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

Senior Data Scientist

Trueaccord

Why TrueAccord? TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process. With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries. The Opportunity: TrueAccord is looking for a Senior Data Scientist to join its growing Data Science team.  The team is dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance. As a senior member of the team, you will have the opportunity to dive deep into our data in order to produce actionable insights, turning this research into machine learning models that elevate our automated debt collection strategy. You’ll explore both green field areas as well as optimize existing ones. You will be a key partner to product and engineering teams looking to identify and prioritize high value machine learning projects that positively impact the experience of both external and internal customers. We’re looking for a driven, self-sufficient and seasoned data scientist who not only runs their own project from initial concept to production but also has a strong desire to mentor junior team members. Our ideal candidate will have a collaborative spirit with a passion for using data to create a positive customer experience. What You’ll Do: Perform self-directed fundamental research and analysis. Develop and maintain machine learning algorithms. Apply data and algorithmic thinking to address business and domain problems. Work cross-functionally to identify high impact business needs and translate them into technical requirements. Manipulate and curate data sets for analysis and model training. What We’re Looking For: Minimum 3 years of data science experience, with machine learning focus. Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, Keras, etc). Strong foundational skills: Python, Pandas, SQL. Advanced degree in statistics, applied mathematics, computer science or equivalent quantitative studies. Ability and desire to mentor junior team members. Drive to educate stakeholders in data science concepts and techniques. You might also have: Strong cross-functional communication skills with technical and non-technical partners. Solid understanding of experiment design. Experience with natural language processing techniques. FinTech background Benefits, Perks, and Culture - Everything you need to work remotely - Work with talented and motivated people in a fast-paced, mission-driven environment - Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance - Family-friendly policies - parental leave, flexible work from home - Unlimited PTO - Transportation benefits - Paid time off to do volunteer work in your community! We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference. Our Dedication to Diversity & Inclusion TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Data Scientist

Retail Zipline

Zipline is 100% remote and accepts applicants from Canada, US & internationally. Hi. We’re Zipline! We’re helping put technology into the hands of those that need it most - - retail workers. If you have worked in a store, you know the drill. You’re helping customers, ringing up orders, and trying to do the 30 tasks that HQ wants you to do. Some pertain to you. Some don’t. But that’s for you to figure out… all while putting out fires and keeping shelves tidy. Are you looking for a career that allows you to work with the world’s best-known brands and Fortune 1,000 leaders? Are you looking to make a huge impact and prove the value of technology in transforming how companies operate? You will have that, and much more, as a Data Scientist at Zipline! We are looking for a business-minded data scientist to work with the marketing and customer success teams with high-impact, high-profile projects. For example, you will help to quantify the value of Zipline for our biggest customers and share your analysis and insights in business review meetings. You will also work side-by-side with our marketing strategist to uncover the insights that make it easy for our sales team to sell the value of Zipline through cold, hard data. So, if you love solving analytical problems, using complex datasets, finding actionable insights, communicating the story within the data, and learning a lot, this role is for you! There are many data scientist roles out there but at Zipline, your work will help improve the lives of retail associates. Retail is one of America's most populous workforces but also one of the most underserved. Through Zipline’s cutting-edge retail operations platform, we can touch one in four American workers and help them feel more connected to their brand’s mission, understand what’s expected of them, and be more successful in their jobs. You will be part of a small group of data scientists, reporting to the product organization. In other words, you will have colleagues to learn from and grow with. Our ideal candidate is both a creative and quantitative thinker, familiar with the business side of SaaS companies but experienced in, yes, data science. We need somebody who has an infectious enthusiasm for finding answers in data. Responsibilities: Partner across the company (Product, Marketing, Customer Success, and Sales) to shape how we drive impact driven by dataIdentify and run the right analyses and methodologies to apply in different projects, analyze and challenge the results, and develop the insights and narratives that explain the business impact on our customers and ourselvesSynthesize and present complex information to technical and business stakeholders at various levels of the organizationHelp evangelize evidence-based decision makingDesign presentations and present complex data sets in a variety of visually compelling formats Experience: 3+ years of experience in analytics and data science with a focus on driving business impact in technology, engineering, consulting or relative work experienceExperience across a broad set of statistical and machine learning methods to build descriptive and predictive modelsProficiency in data extraction and manipulation in data warehouse systems e.g. BigQuery using SQLProficiency in at least one programming language (e.g. Python, R)Proficiency in at least one analytics & visualization tool (e.g. Tableau)Excellent presentation skills and comfort in front of C-level executivesExperience collaborating with less technical colleagues, translating data-driven insights into decisions and actionsComfort operating in a fast-paced environmentOrganized and solution-oriented mindset with a can-do attitude to overcome challengesTeam player with solid interpersonal skills Employee Benefits Stock OptionsPaid Flexible and Sick Time Off (including time off to care for family members)Paid Parental LeaveGroup Health Insurance (Medical, Vision, and Dental) with a variety of PPO & HMO plans and a flexible spending account401(k) Retirement Plan100% Paid Life and Long-Term Disability Insurance The “Extras” Remote Work: Join a flexible, effective remote team and work where you’re comfortable- literally anywhere! We’ve had Zipliners join us from vans, RVs, sailboats, and AirBnBs around the globe.Computer accessories and office setup: There’s a science to being effective at home and we help you get there with the right equipment and accessories that you need.Company off-sites: Every year we come together (IRL!). Past retreats were held in Santa Cruz, New York, Mexico City, and Costa Rica.Education stipends: We believe in perpetual learning! If there’s a class that you want to take or a book that will help you expand your horizons, we’ll support it!Wellness allowance: To encourage breaks and a change of scenery, we provide a small stipend each month to get you out of the house and relax at your favorite coffee spot. We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives. Want to learn more about us? How do we work? Remotely. We have been 100% remote since the company was founded and we have it down to a science - - a people science. We huddle as a team weekly and as a company 3 times a week. On Fridays, we come together to learn from each other. One week it might be about opossum rescue. Another week it might be an update on our product roadmap or the results of our customer satisfaction survey. We are all masters of Zoom and love the freedom of working from home - - or vans - - or sailboats. Sound too good to be true? We haven’t even gotten to our customers! Think about the best retail brands, from your favorite tennis shoes to yoga pants. They’re customers. And, in addition to dozens of specialty retailers, this year we added grocery store, pharmacy, and convenience store brands. In fact, we more than doubled our customers in 2020. And, the word is getting out. We are featured regularly in the press, mostly because of the results we get from our customers. Here’s a look at just some of the articles published recently. We also picked up some awards in 2020. CBInsights ranked us one of the 100 most promising B2B retail tech companies in the world. And, our CEO was a TechTrailblazer finalist. (Check out her articles on Forbes to see her passion for retail and solving its biggest challenges.) We have made incredible progress but changing the industry is hard. We are well funded by leading venture capital firms like Emergence Capital and ready to scale. We need your help to improve the way that this 4.4 trillion dollar industry communicates with its store employees. Cumbersome, slow, and inefficient systems should not be the status quo. Help us retool retail.

Devrel Data Scientist

Hophr

POSITION SUMMARY: DevRel (Developer Relation) Data Scientists are machine learning experts who are driven to make our users successful. Your goal is to amplify the usage, mindshare, and adoption of the client's and AI Quality best practices. By doing so, you have a positive impact on the ethical, transparent, and trusted adoption of AI. And to drive feedback back into the product teams and improve our offerings, you will work closely with product managers and software engineering teams. As a DevRel Data Scientist, you’ll be exposed to a huge range of machine learning use cases from ridesharing to credit decisions, and supply chain management to Twitter sentiment analysis. You will also help support the company’s educational initiatives including creating AI Quality courses and engaging with the client's user community. REQUIRED QUALIFICATIONS: 2+ years of DevRel experience or equivalent Proficiency in developing, troubleshooting, and optimizing machine learning models in Python Experience with model packages/frameworks such as XGBoost, LightGBM, Scikit-learn, DataRobot, H20 Experience with NLP and deep neural network frameworks such as TensorFlow and/or PyTorch Strong understanding of data science workflows and architectures Excellent organizational, communication, writing, and interpersonal skills Ability to wear multiple hats with a “do whatever it takes” attitude Master's degree or higher (or equivalent experience ) is preferred in the area of data science, computer science, statistics, or mathematics RESPONSIBILITIES: Develop a deep understanding of our user’s machine learning use cases and AI Quality goals Leverage your machine learning experience and expert client's product knowledge to help our users optimize the usage of the company. Create strong help content, quick starts, documentation Create sample models for illustrating new machine learning and AI quality concepts Help grow the client's user community and represent the company at AI/ML events Work closely with the company's product management and engineering teams to align customer requirements to future versions and products

Data Scientist

Hophr

POSITION SUMMARY: The Clinical Analytics team creates innovative analytic tools to drive better healthcare outcomes. We’re currently seeking a Data Scientist to support the development and implementation of analytic capabilities that measure and enhance the value of integration of the company's products and programs. Responsibilities include developing advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery. The Data Scientist will collaborate with other data scientists and business partners and will participate in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation. FUNDAMENTAL COMPONENTS: Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions Explores, examines and interprets large volumes of data in various forms Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques, machine learning algorithms, and mathematical analyses Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Uses data visualization techniques to effectively communicate analytical results and support business decisions Creates and evaluates the data needs of assigned projects and assures the integrity of the data Explores existing data and recommends additional sources of data for improvements Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics REQUIRED QUALIFICATIONS: 2 or more years of experience with complex data management and analytics Strong knowledge of statistical methodology, predictive and inferential modeling, data mining and exploration and machine learning techniques Experience using R and/or Python to manipulate large datasets and deploy quantitative techniques ranging from descriptive statistics to deep learning Ability to write SQL code to extract, organize and aggregate data from various data sources (e.g. GCP, Hadoop, Netezza or DB2) PREFERRED QUALIFICATIONS: Understanding of health care industry and clinical research concepts Demonstrates ability to clearly communicate technical concepts, results and implications to management and internal stakeholders

Senior Ml Engineer Sr Data Scientist

Hophr

You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others. We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud. Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals. Come join our team! We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for an experienced data scientist to join our team, and take our modeling and ML to the next level. JOB RESPONSIBILITIES: Research and develop ML learning models and technology to power the behavior-as-a-service platform Collaborate with engineering and other teams to deploy models into production. REQUIRED QUALIFICATIONS: 5 years experience delivering data science projects analyzing and modeling large scale-multi dimensional data, preferably in an industry setting Proven knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.) Fluency in Python, especially the data scientific stack (Jupyter/Pandas/sci-kit-learn) Working knowledge of relational databases (e.g. PostgreSQL), experience with Snowflake and/or Looker is a plus Experience with cloud computing platforms (AWS, Azure, etc.) Outstanding communication skills (verbal, written and remote) PREFERRED QUALIFICATIONS: You have worked in a fraud data team at a financial institution.

Senior Data Scientist

Age Of Learning

Company Overview: Age of Learning is a leading education technology innovator based in Glendale, California, with a talented team of more than 600 individuals comprised of nationally-renowned educators, curriculum experts, developers, artists, writers, designers, engineers, producers, product managers, analysts and marketing experts! Together we develop engaging, effective digital learning technology and content to help children build a strong academic foundation for lifelong success.   Our flagship product ABCmouse.com Early Learning Academy® is a comprehensive online curriculum and the #1 digital learning product for young children. To-date, more than 30 million children worldwide have completed over 8 billion Learning Activities on ABCmouse. We recently launched Adventure Academy, the first massively multiplayer online (MMO) game designed specifically to help elementary- and middle-school-aged children learn. It features thousands of engaging Learning Activities—including minigames, books, original animated and live action series, and more—in a fun and safe virtual world. Other Age of Learning programs include immersive English language learning products for children in China and Japan; ReadingIQ, a digital library and literacy platform; and a groundbreaking personalized, adaptive digital learning system that individualizes math instruction for every child through AI-driven technology. We are committed to helping all children succeed. We provide our educational programs at no cost to teachers, Head Start programs, public libraries, and other community organizations, and have served millions of children through these initiatives. We recently established the Age of Learning Foundation to expand this work globally.   As we expand our global reach and increase the educational impact of our programs, we’re looking for passionate, ambitious, and collaborative leaders to become a part of our growing team. Summary: We are seeking a strong, highly-motivated, results-oriented Senior Data Scientist to help conduct in-depth analyses and derive relevant insights. You will provide integral support for our Product Analytics teams, including the teams that support our flagship product, ABCmouse.com®, our exciting newer massively multiplayer game Adventure Academy and our highly effective adaptive math and reading products My Math Academy and My Reading Academy. Your work will have a strong impact in influencing Product Management and Senior Executives through actionable business/roadmap recommendations that ultimately help children learn!   Responsibilities: Partner closely with product stakeholders, as well as stakeholders from a variety of teams, including the executive team, curriculum, design, brand marketing, partnerships, strategy and customer success, to surface insights and learnings that solve key product challenges    Conduct statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance  Develop recommendation engines to create personalized user experiences that engage and delight users to optimize learning   Define, report and interpret key metrics to assess performance, measure the impact of strategic initiatives, and identify ways to grow revenue and reduce costs  Support A/B and multivariate testing and implementation across desktop and mobile platforms to inform product strategy, engagement, retention, lifetime value, product and content recommendations and personalized experiences   Create beautiful and informative automated/real-time dashboards and visualizations  Communicate results to technical and non-technical stakeholders  Identify actionable insights that positively affect both company revenue and learning outcomes for children  Required Qualifications: 4+ years in a data-intensive role and Bachelor’s degree in a quantitative field (or equivalent training and experience) OR  Master’s or Ph.D. in a quantitative field and 2 years of experience in a data-intensive role  Sound knowledge of analytical, statistical and machine learning methods, including predictive modeling, causal inference, clustering algorithms, recommendation engines and natural language processing  Experience designing a/b tests and conducting statistical analysis to produce test results  Experience productionalizing models a plus  Proficiency in SQL and Python or R  Excellent written and verbal communication skills  Proven ability to explain technical concepts to non-technical stakeholders  Curious, motivated, self-starter, collaborative, team player  Passionate about high quality, insightful data analysis  #LI-Remote Age of Learning currently provides:  • 90% - 100% of health and welfare benefit premiums • A 401(k) program with employer match • 15 paid vacation days, 11 observed national paid holidays plus 9 sick days • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions • Team bonding events and a highly collaborative environment • Access to our internal DEI Task Force that focuses on ensuring our products represent all children on a global scale • Opportunities for professional growth through professional learning and development programs  • Commitment to Equal Opportunity Employment in addition to an inclusive and supportive company culture 

Senior Data Scientist Business Intelligence

Spring Health

Our mission: to eliminate every barrier to behavioral health.  Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond.  Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion. Data is our most valuable asset at Spring Health. We’re building out our Business Intelligence team to ensure we can effectively use all of that data to eliminate every barrier to mental health more quickly and completely. In this role you will become a trusted partner to our internal teams, working to enable them to confidently access, understand, and use the data they need to make the right decisions about our business, products, and processes. #LI-BW1 What you’ll be doing: Act as a partner with internal teams (finance, operations, etc) to proactively translate their data questions into actionable dashboards that drive teams’ decisions and behavior Develop a deep understanding of our products and operations, and how they tie into Spring Health’s business context Develop predictive models for both business and clinical applications, helping the teams understand how decisions we make now may impact the future Contribute to the team’s overall Looker strategy, improving our design for how we organize the models and views of our data Collaborate with the BI and data engineering teams to implement the Looker design we develop Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems Collaborating with teams to understand our business, help craft KPIs and then create reports to measure them What we expect from you: You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you You have 5+ years of working experience working with data, data visualization, and dashboarding tools You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate You are an expert in advanced SQL, and (bonus) are comfortable optimizing queries to reduce load times You’re comfortable using languages like R or Python to do more advanced data analysis You have experience working with Looker, both creating up the data model and building dashboards You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders You have exceptional communication skills, and are comfortable working independently with executive level team members You are humble, highly motivated, and thrive in fast-paced environments What we'd love to see (Bonus): You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc) You have experience using any of the following data: EMR, clinical trials, claims data You have operated in a role that required interaction with customers Benefits of working at Spring Health:   Focus on total health including: Generous medical, dental, vision coverage available day 1 + access to One Medical Access to Spring Health’s platform which includes (10) free therapy sessions Unlimited time off in addition to (12) paid holidays 16-18 weeks paid parental leave  $500 per year Wellness Reimbursement    Creating a culture you can thrive in: Flexible remote and hybrid work style arrangements Calm Fridays to encourage meeting & distraction free days  Donation matching to support your favorite causes Employee resource groups     Supporting you financially through: Competitive mix of salary and stock options Employer sponsored 401(k) match   In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously: Members Come First: We are genuine member advocates. Move Fast to Change Lives: We build with urgency and intention. Take Ownership: We extend trust and hold ourselves accountable. Embrace Diverse Teams & Perspectives: We find strength in the diversity of cultural backgrounds, ideas, and experiences. Science Will Win: We will achieve impact by innovation and evidence based frameworks. Candor with Care: We are open, honest and empathetic.   Spring Health 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, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.   #LI-remote

Staff Data Scientist

Intercom

Staff Data Scientist 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 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. Staff Data Scientists in RAD lead partnerships with R&D groups to help Intercom make sense of our customers 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 be the lead data scientist for an Intercom product area. You’ll partner closely with a product researcher to build a holistic understanding of this area. You’ll build relationships and collaborate with leaders from product, design and engineering to shape the strategy for your product area. You’ll measure outcomes and develop success metrics to understand the impact of product changes on customer behaviour, through analysis and experimentation. You’ll also collaborate with finance, marketing and sales to understand how your product area impacts Intercom’s commercial performance. You’ll build and automate actionable models and dashboards You’ll craft data stories, share your findings and advocate for your recommendations across R&D 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 drive projects to improve the tools and infrastructure that data scientists   use to do their work. You’ll be a role model for more junior data scientists on the team What skills do I need? 📖 5+ years experience working with data to solve problems and drive evidence-based decisions Demonstrated ability to influence and guide product strategy with data Excellent communication skills (technical and non-technical) and a focus on driving impact Desire to mentor other data scientists and share best practices to elevate the use of data science at Intercom Strong growth mindset and sense of ownership. Innate passion and curiosity Excellent SQL skills Experience with a scientific computing language (R or Python) Experience with BI/Visualization tools like Tableau, Superset or Looker Bonus skills & attributes 🙌 Experience working on a B2B SaaS product Experience with data modeling and ETL pipelines Experience partnering with Product Research 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 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.  

Senior Machine Learning Scientist

Thirty Madison

We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for a motivated senior machine learning scientist to join our growing machine learning team to deliver on that vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, improve healthcare access, keep patients engaged in their care, and improve their health outcomes as part of our mission to reinvent healthcare. What you’ll do: Work with clinical and operational partners to define how ML can help clinicians and patients make better decisions and expand access to care and improve health outcomes Collaborate with fellow scientists, product managers and engineers to develop and deploy ML systems within clinical and operational workflows Own projects end-to-end from scoping to data gathering, feature engineering, model development, deployment and performance monitoring Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces You should have: MS/PhD in computer science, statistics or another quantitative field 5+ years of applied machine learning experience in an e-commerce or healthcare setting Deep knowledge of the fundamentals of traditional machine learning and deep learning Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras) Experience training and deploying models in a cloud computing environment Ability to communicate machine learning concepts to non-technical audiences

Data Scientist New Grad

Figma

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences. What you’ll do at Figma: Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems Evaluate experiments to measure the impact of product changes Define and surface metrics to guide decision making Communicate and document data logging and requirements Build models to understand user behavior and predict growth Provide thoughtful feedback to others on the team Help grow Figma by interviewing candidates for teams across Data Science We'd love to hear from you if you: Are pursuing a degree in Statistics, Computer Science, Mathematics, Economics or other quantitative field (advance degree preferred) Have at least one previous data science internship or relevant research experience Are proficient with basic SQL  Have experience with R, Python, or similar scripting language Have firm knowledge around statistical methods and models Have a self-starting approach along with strong communication and collaboration skills In your first few months, you'll: Work with an onboarding buddy to make your first edits to our data tables and dashboards Start to build deep context and expertise in Figma's data and product Deliver your first product analysis At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.   Read more about our team  Investing in Figma: The Decade of Design How work is changing at Figma Figma's next product is a multiplayer whiteboard called FigJam Figma's engineering values By the numbers: one year of remote work Inside Figma: a Q&A with our 2021 interns and new grads

Data Scientist Product Community Team

Figma

The vision of the Figma Community is to move Figma from standalone design tools to an ecosystem and platform. Community is where our users share, explore, and gain inspiration from one another. We provide the support for creators to thrive with the power of the design community and take their design process to the next level.    We’re looking for a senior data scientist who will take ownership of this team’s data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing. In working with an independent product surface with a unique focus, your responsibilities would cover a broad set of work including exploratory analysis, experimentation, and model evaluation and improvement related to the content discovery experience. The ideal candidate will have a strong track record of using data to influence product teams and help them achieve their goals through both analytics and machine learning.   This is a full time role that can be held from one of our US hubs or remotely in the United States.   What you’ll do at Figma: Design and evaluate experiments to measure improvements to UI and algorithms Generate ideas to creatively leverage data for shaping future product roadmaps Collaborate with engineering to leverage machine learning to improve relevancy of content on Community. Drive democratization of data through creation of new datasets and tooling Design and surface metrics to guide decision making Collaborate with cross-functional teams including Product, Engineering, Research, Design, and Marketing   We'd love to hear from you if you have: Degree in a quantitative field(Advanced degree preferred) 3+ years relevant work experience Fluency in Python, R or similar scripting language Proficiency in SQL Experience in distributed data processing systems(Hive, Redshift, Presto, Snowflake, etc) Breadth of knowledge around machine learning and experiment design, including A/B testing and content ranking algorithms Excellent judgment and creative problem solving skills A self-starting mindset along with strong communication and collaboration skills   At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Read more about our team  By the numbers: one year of remote work Measuring the value of design systems Figma’s Series D:  The Decade of Design Figma's engineering values

Director Of Data Data Science Analytics

Talkingpoints

About TalkingPoints TalkingPoints is an award-winning education technology non-profit organization with the mission to unlock the potential of low-income, underserved families to support their children’s learning by partnering with their children’s schools. COVID-19 remote learning environment has made our mission ever more urgent and important. We’re building a one-of-a-kind product in the market, a multilingual family engagement platform that connects families and teachers using human and artificial intelligence powered, two-way translated messages and personalized supports — eliminating language, time limitations, and know-how as barriers to school/family connection. Millions of teachers and families are using TalkingPoints in their classrooms, schools and districts across the U.S. TalkingPoints works with key school district partners such as Oakland Unified, Seattle Public Schools, Boston Public Schools, Buffalo Public School, Wake County and NYC DOE. We have won awards from NYU, MIT, Google, Forbes and are backed by Google, Eric Schmidt, AT&T, Cisco, and Stanford University to name a few. We're at a critical inflection point in the organization's growth, our user base has grown exponentially in the past year while our team doubled and will double again over the next year. It's an important time to join our team and build on our momentum and ability to support students and families during this critical time in which education equity gaps are more concerning than ever. Learn more. Diversity: we celebrate it, we support it, and we thrive on it! The opportunity Be our first data team leader, managing our data science, analytics, and data engineering teams and roadmap. This is a player/coach role that includes: Developing, managing and executing on the TalkingPoints data roadmap which includes data infrastructure, data science, and product and impact analytics. Managing a growing data team that supports data science, data analytics, and data engineering, driving focus and execution for that team, as well as supporting the ways in which they interface with every other team in the organization. Drive investment in our data infrastructure to allow TalkingPoints to more reliably and rapidly produce insights. Drive the strategy and cross-functional thinking in how our data roadmap supports optimal progress and impact for our organization. This includes identifying as of yet unknown areas of data investment that could positively impact our business and users, and collaborating with all areas of our organization to be opportunistic in how data can provide competitive advantage to TalkingPoints. Who you are You are an experienced data leader with experience in analytics and experimentation, data engineering, and machine learning/prediction who knows how to effectively and strategically support data needs throughout an organization. You combine business insight, technical acumen, and human understanding to drive an immaculately prioritized data roadmap. You have experience managing, mentoring and developing a team of data scientists, analysts, and data engineers and strategically managing and growing our data infrastructure to support of our progress. You have worked in a high growth, consumer or SaaS company and seen what it takes to build a high performing data org. You seek impact that accelerates our business and our mission, and you have a demonstrated ability to create real value from analysis. You are proficient in modern data stacks, tools, languages, including SQL, Tableau, Python, R, etc.; you know how to navigate and build upon the existing foundation. Overall fit with our org culture - we look for team members who are: User and mission-oriented: we are devoted to our mission with empathy towards the communities we serve. All-in together: we go above and beyond the job description, working together as a team. Agile & action-oriented: we get things done, knowing that our progress is urgent to our communities. Always learning: we are always learning, with a growth mindset, to reach our our full potential. Boldly courageous: we take risks in order to achieve big things. Resourceful: We are creative, solution-oriented, and scrappy. Overall fit with our org culture - we look for team members who are User and mission-oriented: we are devoted to our mission with empathy towards the communities we serve. All-in together: we go above and beyond the job description, working together as a team. Agile & action-oriented: we get things done, knowing that our progress is urgent to our communities. Always Learning: we are always learning, with a growth mindset, to reach our full potential. Boldly Courageous: we take risks in order to achieve big things. Resourceful: We are creative, solution-oriented, and scrappy. What we offer An incredible opportunity to build a mission-driven, rapidly growing startup tech nonprofit Competitive salary, full coverage health insurance, benefits, and unlimited vacation Flexibility to work remotely 401K match Fun, smart, dynamic, motivated team focused on working together to transform family engagement to serve the families who need it most How to apply Please submit your resume, a brief paragraph describing your interest, and a link to your LinkedIn profile

Director Data Science Analytics

Donorschoose

Candidates can work from our New York or San Francisco offices as they reopen, or as a permanently remote employee in the United States. DonorsChoose is a technology-based non-profit that is serious about data. We are seeking a Director of Data Science & Analytics who is eager to play both a key technical and leadership role on a results-oriented, four-person team that delivers critical work for stakeholders across the organization. In this player-coach capacity, a typical week may involve prioritizing data projects with leaders from departments across our org, conducting an equity analysis of teacher funding, assisting our Analytics Engineer with a custom data transformation script, collaborating with Engineering to improve data freshness, and guiding a direct report on their professional development. The Director of Data Science & Analytics will report directly to our CTO, and will manage an Analytics Engineer, a Data Scientist, and a Business Intelligence Analyst. Together with our Engineering team, they’ll manage our data stack, at the center of which sits a Redshift-based warehouse that houses transactional, event, customer service, and CRM data. We use Fivetran to ingest data and dbt to transform it. Through Looker, our staff accesses this data, which represents over 2 million classroom requests from over 600,000 teachers, funded by 5 million donors. The ideal candidate is seeking an organization whose mission aligns with their values, where data is democratized and used for good, and where they’ll be challenged and supported in their growth.  About DonorsChoose DonorsChoose engages the public in public schools by giving people a simple, accountable, and personal way to address educational inequity. In this clip, board member Stephen Colbert tells our story. To date, teachers at 83% of all the public schools in America have posted classroom project requests on our site. Projects range from paper and markers for a poetry writing unit to violins for a school recital. More than 5 million “community philanthropists” have supported such projects, channeling books, field trips, technology, and other resources to more than 40 million students nationwide. In all, we’ve generated $1 billion for learning experiences designed by our country’s most dedicated public school teachers. GOOD Magazine highlighted us as one of 30 Places We Want to Work, while Fast Company named DonorsChoose one of the 50 Most Innovative Companies in the World—the first time a charity has made this list. Through its dedicated team and culture, DonorsChoose earned recognition as the #1 "Best Nonprofit to Work For" by the Nonprofit Times. About the Team This role leads the Data Science & Analytics Team in our Product, Engineering & Data group. The Data team advances DonorsChoose’s data-driven philosophy and equity focus using an analytics-centric data warehouse that holds the single source of truth for all areas of our operation. With this structured data, we use business analytics and data science to understand user behavior, build machine learning products, and inform business strategy across Marketing, Fulfillment, Operations, and Product. About the Role Responsibilities: Manage three direct reports: an Analytics Engineer, a Data Scientist, and a Business Intelligence Analyst, helping them deliver excellent work by providing advice and technical guidance Work collaboratively with teams across the organization to define our highest priority business needs and identify data analytics solutions Own data analytics strategy and vision, overseeing and prioritizing major initiatives around data modeling, engineering, analysis, and machine learning Get hands-on, performing statistical analyses on large sets of data to extract actionable insights that will help drive business decisions across our marketing, operations, and product teams Drive the organization's data literacy and grow fellow leaders' data savvy, with an emphasis on racial equity analyses and strategy Partner with Engineering to keep our data secure, adapt our data infrastructure to meet the growing needs of the organization, and build data-powered features for our teachers, donors, and colleagues Increase awareness of our work by engaging the “Data for Good” community and external researchers Our ideal candidate: Has experience working hands-on with datasets to solve business problems, but also enjoys planning strategically for the business Is passionate about rigorous use of data as a tool for racial justice and educational equity Relishes distilling open-ended challenges into clear and tractable ones Has managed people, and is excited to help three direct reports to reach their full potential Guides complex, cross-team projects with a clear vision and fosters purposeful, collaborative relationships Possesses strong SQL and data transformation skills Is interested in machine learning model development and data science techniques Operates with a bias for impact and action, and a drive to deliver results for the teachers and students we serve Has experience with (but not required): Modern business intelligence and reporting platforms, e.g. Looker Amazon Web Services data infrastructure, e.g. Redshift, S3, and Lambda Web analytics and event data Development and deployment of machine learning products Compensation and Benefits Compensation for this role is competitive with equivalent technical roles at other nonprofits of our size. In addition, we offer full-time staff 25 paid vacation days per year and 11 paid holidays, a rich employer-paid individual and family health plan, annual professional development stipend, and casual and flexible work environment. To learn more about what it is like to work for DonorsChoose, visit our careers page.  In compliance with the Equal Pay for Equal Work Act, candidates from Colorado may inquire about the salary range for this role by completing this form. A member of our Talent team will contact you with more information. To Apply Please submit your application online. In your cover letter, tell us a little bit about your favorite teacher! Applications will be accepted on a rolling basis until this position is filled.  A Final Note The DonorsChoose team works toward a nation where students in every community have the resources needed for an excellent education. To do this we hire and support a diverse team of the best and the brightest talent available. We are an organization increasingly representative of the varied races and ethnicities, genders and sexual orientations, religious and political beliefs, and abilities that comprise our nation. DonorsChoose focuses on attracting, retaining, and advancing diverse talent because it makes us more effective, high-performing, creative, and resilient.   If you are passionate about our mission, highly skilled in your field, and looking for a place where you can bring all of yourself to work, we want you.

Senior Climate Data Scientist

Openearth

APPLY FOR A JOB AT THE OPEN EARTH FOUNDATION Please send your resume with a brief cover letter to [email protected]. The cover letter is an important part of the application, it is your opportunity to highlight why you feel you would be a great addition to the team.  Senior Climate Data Scientist: Integrating our global climate accounting Open Earth Foundation is a California-based research and deployment non-profit developing open innovative technology to increase planetary resilience and avoid a catastrophic climate crisis. We are a diverse international team, working with a network of collaborators and partners globally (from the United Nations to cutting-edge startups) and always ready to have fun saving the world. We are building  open infrastructure for the Paris Agreement, energy finance, biodiversity tracking, and impact solutions at the intersection of emergent technologies (ML, blockchain, Web3 technologies, IoT devices) and climate innovations. We have funding, a network of international partners and a team of experts focused on Earth systems and digital innovation. Now we need Digital Avengers to help us on our planetary mission. Your mission, should you choose to accept it: As a senior climate data & policy scientist you will provide research, leadership and hands-on data management in our climate accounting technology programs. Your work will cover clima data expertise across Earth system science (particularly carbon budgets), international climate accounting (eg. GHG Inventories, UNFCCC process, and Paris’ Global Stocktake) and Non-State actor climate strategies (eg. corporate and city-scale accounting). You will work directly with the Executive Director, be the top climate expert in a digital R&D lab with 5-10 members, and work on up to 4 different simultaneous climate data and accounting development operations; involving in-house work and managing multiple external collaborators. The ideal candidate: passionate researcher on Earth system science and data Responsibilities: manage, research, code, calculate, engage Oversee all climate research, datasets, developments and deployments for the Open Climate project.Manage the climate science vision and mission of the Open Climate program, including for the independent climate accounting network  for the Global Stocktake, the Nested Climate Accounting spatial web simulator, the North American Energy Certification pilot, and model registry development for the voluntary carbon market. Supervise all climate prompts in the Open Climate Collabathon. Tech & Data Abilities Interpersonal skills: A time-zone management master, clear communicator, creative and curious, attention to detail Qualifications OEF is an Equal Employment Opportunity Employer. We support diversity, equity and inclusion in teams, and believe people should align their work with their purpose. Please send your resume with a brief cover letter to [email protected]. The cover letter is an important part of the application, it is your opportunity to highlight why you feel you would be a great addition to the team. We look forward to hearing from you!

Senior Data Scientist

Tackle Io

Tackle.io enables enterprise software companies to accelerate the use of Cloud Marketplaces like AWS, Azure and Google. Our vision is to transform the way software is bought and sold with a laser focus on helping customers build and drive significant channels of revenue through the Cloud Marketplaces. You’d be a good fit if you value:   Progress over process Treating one another fairly Pragmatic solutions Flexible, remote first culture Light-weight process and high autonomy About The Opportunity: Data is a critical component of Tackle’s mission to make digital software selling via Cloud Marketplaces the defacto standard of selling and buying software. Data Scientists at Tackle will be part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure and Red Hat). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations. Tackle’s Engineering team is growing, and we are looking for talented engineers to craft solid and reliable software at a sustainable pace. We balance consistent innovation and improvement of existing products with new and exciting greenfield projects. You will work in an exciting, positive environment surrounded by kind, talented, creative people. Tacklers have a bias to action, and we act without ego; in all interactions we know it is critical to respect, value and support each other. We succeed and fail as a team, with a mindset of pursuing success instead of avoiding failure. Wellness is a critical pillar of the company and we live this value in a variety of ways, with empathetic servant leadership at every level and flexible working hours to ensure a healthy work-life harmony.  Developer experience at Tackle is rewarding; we work with modern toolchains and pipelines, where code is deployed to production multiple times per day. In this role, you will aggregate and analyze disparate data sources to provide insights into data that will empower our customers to make better decisions and grow their businesses. Working on a development team at Tackle, expect to grow and evolve as an engineer by building and executing on a detailed growth plan tailored to your interests and aspirations. In This Role You Will: Be a part of an autonomous team of 5-7 engineers, a dedicated Product Manager and UX support to build, enhance and maintain existing areas of the Tackle platform through the analysis of data. Build informative KPIs, data rich dashboards and scalable data products. Apply fundamental data science methods and econometric models such as segmentation, regression, survival analysis, experimentation and machine learning. Solve technical problems of moderate scope and complexity. Write code that is focused on scalability, testability, supportability and maintainability. Actively and enthusiastically participate in thorough code reviews and troubleshooting complex issues. Mentor less experienced software engineers and learn from those who are more experienced to set the standard for the next generation of Tacklers. Welcome different perspectives - be open and inclusive in every interaction. You Should Have: An ability to work with large data sets with minimal engineering support. Strong fundamentals in the computer science discipline: data structures, algorithms, programming languages, distributed systems, and information retrieval. Building, improving, maintaining, and scaling stream processing services in Python, C, Go and/or Java/Scala. Have worked with relational DBs, NoSQL datastore, data lakes and data warehouses. Desire to hold yourself and the team to high standards while evaluating technical trade-offs and delivering balanced solutions. Are self-motivated with strong organizational skills. Have a positive and solution-oriented mindset. Will thrive in a fully remote organization where flexible schedules require asynchronous communication. Communicate clearly and effectively in both verbal and written form.  You Will Stand Out: Have been a part of a formal data engineering or data science team that has scaled and provided value both internally and externally.  Semantic text mining or natural language processing experience. Deep mathematical and statistical background. Understanding of Cloud Computing Technologies and related emerging technology (S3, EC2, Lambda, Glue, Athena, Quicksight, Databricks, Snowflake). Curiosity or experience with graph modeling and graph databases. Experience with one or more Data platforms (Postgres, Dynamo, Redshift, ElasticSearch, BigQuery). Exposure to building data pipelines utilizing technologies and frameworks (Python, Go, Scala/Java). Have a love for data (structured, unstructured and semi-structured) and seek out solutions to make data visible and meaningful. Ability to tell an amazing story from data. Great engineers can do great things, and that is far more important to us than technical specialties or degrees. Do you bring something special to the table that others don’t? Even if you aren’t a perfect match to our job description: apply anyway, we’d love to hear from you!  We are always looking for people with different experiences, backgrounds and perspectives because they make us better, stronger and healthier as a company and a community. TACKLE VALUES: Start with the customer - We exist to help sellers sell more & sell faster, and we measure all of our decisions with our customers’ goals at the forefront.  How we embody this value: -We celebrate when our customers celebrate -We’re active listeners and intent observers -We always aim to be consistent, reliable, and trustworthy Paint the art of the possible - We continuously innovate on how we do things, always looking for a better, smoother way for our customers and for each other. How we embody this value: -We think big to solve problems and make our customers lives easier -We challenge the status quo, break down barriers, and aren’t afraid to experiment or get uncomfortable -We take calculated risks, we own our mistakes, and we support one another Operate with integrity - We have a bias for action and we communicate both internally and externally with candor, empathy, and authenticity.  How we embody this value: -We first seek to understand and then take thoughtful action -We are committed to fostering inclusivity and belonging for all employees -We’re accountable for our work and responsive to issues impacting colleagues and customers Learn and grow together - We work as a team, we celebrate wins, and we have fun together as we strive for professional and personal growth. How we embody this value: -We’re curious and cognizant of emerging tools, trends, and new ways of looking at old problems -We’re purposeful about supporting and connecting with other teams across the company -We invest in personal wellness & professional development and we believe in aligning personal and professional passions  The Process:   We have a transparent and streamlined hiring process that can typically be completed in one to two weeks:  ·       Phone screen ·       3 additional video chat interviews (on occasion there may be opportunities for in-person interviews) ·       Offer   Benefits of joining the Tackle Team:   Full-time employees currently enjoy these amazing benefits:   ·       Work remotely ·       Competitive Salary ·       Health, Dental and Vision Coverage ·       Company off-site Summits ·       Monthly Wellness Reimbursement ·       Internet and Phone Reimbursement ·       $500 Home ergo/office set up ·       Generous Vacation Plan ·       401k ·       Technology tools to do your best work ·       Company Surprises and Swag ·       Awesome Co-workers We are a welcoming and diverse team with a wide range of backgrounds and experiences.  We were born and built remote and welcome others who believe remote companies are the way companies will be built into the future. At this time, we can only accept applicants who reside within the United States. Tackle.io is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Data Scientist

Tackle Io

Tackle.io enables enterprise software companies to accelerate the use of Cloud Marketplaces like AWS, Azure and Google. Our vision is to transform the way software is bought and sold with a laser focus on helping customers build and drive significant channels of revenue through the Cloud Marketplaces. You’d be a good fit if you value:   Progress over process Treating one another fairly Pragmatic solutions Flexible, remote first culture Light-weight process and high autonomy About The Opportunity: Data is a critical component of Tackle’s mission to make digital software selling via Cloud Marketplaces the defacto standard of selling and buying software. Data Scientists at Tackle will be part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure and Red Hat). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations. Tackle’s Engineering team is growing, and we are looking for talented engineers to craft solid and reliable software at a sustainable pace. We balance consistent innovation and improvement of existing products with new and exciting greenfield projects. You will work in an exciting, positive environment surrounded by kind, talented, creative people. Tacklers have a bias to action, and we act without ego; in all interactions we know it is critical to respect, value and support each other. We succeed and fail as a team, with a mindset of pursuing success instead of avoiding failure. Wellness is a critical pillar of the company and we live this value in a variety of ways, with empathetic servant leadership at every level and flexible working hours to ensure a healthy work-life harmony.  Developer experience at Tackle is rewarding; we work with modern toolchains and pipelines, where code is deployed to production multiple times per day. In this role, you will aggregate and analyze disparate data sources to provide insights into data that will empower our customers to make better decisions and grow their businesses. Working on a development team at Tackle, expect to grow and evolve as an engineer by building and executing on a detailed growth plan tailored to your interests and aspirations. In This Role You Will: Be a part of an autonomous team of 5-7 engineers, a dedicated Product Manager and UX support to build, enhance and maintain existing areas of the Tackle platform through the analysis of data. Build informative KPIs, data rich dashboards and scalable data products. Apply fundamental data science methods and econometric models such as segmentation, regression, survival analysis, experimentation and machine learning. Solve technical problems of moderate scope and complexity. Write code that is focused on scalability, testability, supportability and maintainability. Actively and enthusiastically participate in thorough code reviews and troubleshooting complex issues. Mentor less experienced software engineers and learn from those who are more experienced to set the standard for the next generation of Tacklers. Welcome different perspectives - be open and inclusive in every interaction. You Should Have: An ability to work with large data sets with minimal engineering support. Strong fundamentals in the computer science discipline: data structures, algorithms, programming languages, distributed systems, and information retrieval. Building, improving, maintaining, and scaling stream processing services in Python, C, Go and/or Java/Scala. Have worked with relational DBs, NoSQL datastore, data lakes and data warehouses. Desire to hold yourself and the team to high standards while evaluating technical trade-offs and delivering balanced solutions. Are self-motivated with strong organizational skills. Have a positive and solution-oriented mindset. Will thrive in a fully remote organization where flexible schedules require asynchronous communication. Communicate clearly and effectively in both verbal and written form.  You Will Stand Out: Have been a part of a formal data engineering or data science team that has scaled and provided value both internally and externally.  Semantic text mining or natural language processing experience. Deep mathematical and statistical background. Understanding of Cloud Computing Technologies and related emerging technology (S3, EC2, Lambda, Glue, Athena, Quicksight, Databricks, Snowflake). Curiosity or experience with graph modeling and graph databases. Experience with one or more Data platforms (Postgres, Dynamo, Redshift, ElasticSearch, BigQuery). Exposure to building data pipelines utilizing technologies and frameworks (Python, Go, Scala/Java). Have a love for data (structured, unstructured and semi-structured) and seek out solutions to make data visible and meaningful. Ability to tell an amazing story from data. Great engineers can do great things, and that is far more important to us than technical specialties or degrees. Do you bring something special to the table that others don’t? Even if you aren’t a perfect match to our job description: apply anyway, we’d love to hear from you!  We are always looking for people with different experiences, backgrounds and perspectives because they make us better, stronger and healthier as a company and a community. TACKLE VALUES: Start with the customer - We exist to help sellers sell more & sell faster, and we measure all of our decisions with our customers’ goals at the forefront.  How we embody this value: -We celebrate when our customers celebrate -We’re active listeners and intent observers -We always aim to be consistent, reliable, and trustworthy Paint the art of the possible - We continuously innovate on how we do things, always looking for a better, smoother way for our customers and for each other. How we embody this value: -We think big to solve problems and make our customers lives easier -We challenge the status quo, break down barriers, and aren’t afraid to experiment or get uncomfortable -We take calculated risks, we own our mistakes, and we support one another Operate with integrity - We have a bias for action and we communicate both internally and externally with candor, empathy, and authenticity.  How we embody this value: -We first seek to understand and then take thoughtful action -We are committed to fostering inclusivity and belonging for all employees -We’re accountable for our work and responsive to issues impacting colleagues and customers Learn and grow together - We work as a team, we celebrate wins, and we have fun together as we strive for professional and personal growth. How we embody this value: -We’re curious and cognizant of emerging tools, trends, and new ways of looking at old problems -We’re purposeful about supporting and connecting with other teams across the company -We invest in personal wellness & professional development and we believe in aligning personal and professional passions  The Process:   We have a transparent and streamlined hiring process that can typically be completed in one to two weeks:  ·       Phone screen ·       3 additional video chat interviews (on occasion there may be opportunities for in-person interviews) ·       Offer   Benefits of joining the Tackle Team:   Full-time employees currently enjoy these amazing benefits:   ·       Work remotely ·       Competitive Salary ·       Health, Dental and Vision Coverage ·       Company off-site Summits ·       Monthly Wellness Reimbursement ·       Internet and Phone Reimbursement ·       $500 Home ergo/office set up ·       Generous Vacation Plan ·       401k ·       Technology tools to do your best work ·       Company Surprises and Swag ·       Awesome Co-workers We are a welcoming and diverse team with a wide range of backgrounds and experiences.  We were born and built remote and welcome others who believe remote companies are the way companies will be built into the future. At this time, we can only accept applicants who reside within the United States. Tackle.io is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Data Scientist Infectious Disease Modeling

The Public Health Company

We are seeking an exceptional Data Scientist to help us build the company. ROLE DESCRIPTION In this role, you will be working as a founding member of the Data Science team focused on building infectious disease models to help businesses and governments better predict, prevent, and respond to infectious disease outbreaks. The world now understands the importance of rigorous modeling of infectious disease in the public and private sectors, and you will be part of the early team at PHC building the future of the field. Modern data streams (genomic, mobility, search, social, etc) and modern computational techniques allow us to design, fit, and test models of transmission that are both more accurate and more flexible than classical approaches. In this role, you will: Work closely with the Engineering and Product teams to build scalable mathematical modeling products that enable disease prevention, prediction, response, and risk assessment. Perform statistical analyses of model performance, robustness, and impact. Present interpretation of results to internal/external and technical/nontechnical stakeholders. Provide technical and scientific guidance and mentor junior colleagues. Write appropriate documentation and tests to ensure code reproducibility and reusability. Contribute to scientific publications, technical reports, conferences, and open-source libraries Work with all levels within the company including executive leadership to bring high-performing, actionable models to end users REQUIREMENTS Graduate degree in an analytical field such as epidemiology, biostatistics, statistics, mathematics, machine learning, or computer science. Experience creating, implementing, and applying models of infectious disease transmission (or of systems with similar dynamics). Deep understanding of statistical modeling approaches. Experience using R or Python, Github, and the command line. Strong communication skills with an emphasis on the ability to explain scientific and statistical concepts clearly. Availability for meetings in the mornings, Pacific Time. NICE TO HAVE Experience working with an external stakeholder (either collaborator or client) on a infectious disease mathematical modeling project Experience working with large datasets (>millions of rows) such as mobility data, electronic health records, social media data, census data Experience with phylodynamic methods, agent-based models, and/or machine learning Experience with cloud computing platforms, workflow managers, and data visualization Experience contributing to open source software PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.  

Data Scientist Engineer

The Public Health Company

Bugcrowd is the world’s #1 crowdsourced security company. Our award-winning platform combines actionable, contextual intelligence with the skill and experience of the world’s most elite hackers to help leading organizations solve security challenges, protect customers, and make the digitally connected world a safer place. We are looking for an experienced Data Scientist with a hands-on engineering background to join our growing international team. You’ll be part of a highly engaged and technical group that is well-versed in building enterprise-ready and extremely secure software systems. Bugcrowd has one of the largest collections of reported vulnerability disclosures in the world. You will design and implement production-grade deployments of advanced analysis of this data and have the opportunity to revolutionize our platform and cybersecurity workflows. We are looking for somebody with: At least three years of professional experience with data science A strong understanding of data modelling and architecture Experience developing models for natural language processing Experience with graph and relational databases Knowledge and understanding of named entity recognition, natural language processing, statistics theory and practice, bayesian modeling, time-series modeling, deep learning, visualization and presentation of results Software engineering experience beyond data science is definitely a plus We use a lot of different technologies, so the more of the following list you know, the better. In no particular order: Go, Ruby, Python, Kotlin, Kafka, Terraform, Docker, AWS Neptune, AWS Glue, AWS Sagemaker, AWS Athena, Tableau, Postgres, Tensorflow, Skosmos, Fuseki, Apache Jena, RDF4J, (Py)Spark, Silk, Spacy, Jupyter, SQL, Sparql, RDF4J, CI/CD, Agile, Scrum, git. Culture We realize that any company, but especially a crowdsourcing company, stands or falls with treating people like humans - especially our own employees. That is why we encourage a healthy work life balance with flexible time off, monthly mental health days and donation matching. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. We are a supportive & collaborative team who understand that reaching Bugcrowd’s potential depends on the happiness of the employee. We are a globally distributed team; there are Bugcrowders around the world working together. There are 24 different flags currently hanging in our HQ representing our countries of origin. If you happen to be near one of our offices (when we go back), we’re dog-friendly and have plenty of in-office perks. Perks Competitive salary, bonus program and stock options Flexible time off & monthly mental health days Opportunities to attend & host relevant conferences & meetups Exceptional medical, dental & vision coverage Generous allowance to build the workstation that suits you Monthly stipend to offset expenses related to working from home 401k Background Checks: The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law.

Lead Analyst Data Scientist

New Relic

Description Please note that visa sponsorship is not available for this position. Your Opportunity New Relic is the industry’s largest and most comprehensive SaaS-based observability platform built to create more perfect software. We are passionate about providing solutions and tools that help development and operations teams monitor, troubleshoot, and optimize the performance of their applications and infrastructure. And, we have a ton of fun doing amazing work! We are searching for a Lead Data Analyst who will support the Marketing organization and report to our Director of Marketing Analytics. In this role, you will be responsible for evaluating the impact of our demand generation and integrated campaigns, measuring end-to-end marketing funnel performance, producing dashboards to report on our important metrics, and performing data analyses to optimize marketing performance for business operation, planning and budgeting purposes! We are building out a world-class marketing analytics team. This role will play an important role in spearheading and shaping how analytics will be used to grow and optimize our customer acquisition and monetization. You will work closely with our Marketing partners to connect tactics to results and recommend future activities. In addition, you will partner with the Product and Sales analytics teams to build and perform analyses that help drive future revenue. As a growing technical SaaS company, we have complex and oftentimes unstructured problems. We are looking for someone who has strong technical skills and thinks creatively to find solutions. We are looking for a candidate who thrives on discovering how behavior can predict measurable actions and is passionate about how the latest trends in Marketing and technology can be used to build a next generation analytics function. Opportunity to work from a remote office may be available depending on applicant location. What You’ll Do Use multi-sourced data and marketing principles to create marketing dashboards, descriptive and predictive analyses, and data systems to optimize our marketing programs and objectivesDefine and implement end-to-end programs for metrics creation, data collection, database development, reporting, and data modelingPerform advanced analyses to understand and explain trends and drivers of key marketing metricsCollaborate with cross-functional teams including Product, Marketing, and Sales to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendationsDefine, compute, track, and continuously validate business metrics with descriptive and predictive analysisIdentify and implement structured processes for data reporting and communication, and use analytical models to identify insights to drive key decisions across leadership and the organizationProvide mentorship to other members of the team and the marketing organization on the best methodologies for design, implementation, and testing of analytics insightsUse tools like R, Tableau, Python, and SQL to drive efficient analytics Your Qualifications Must-have: Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent7+ years of hands-on experience analyzing and interpreting data, building statistical models, drawing conclusions, defining recommended actions, and reporting results for different marketing partners7+ years of experience with developing data visualizations with tools such as Tableau and with Analytics/Data Science tools such as R, Python, and SQL3+ years of experience in marketing analytics/data scienceExperience using data driven models to drive business decisionsExperience using data access tools and building visualizations using large datasets and multiple data sourcesKnowledge of statistics and data science (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)Experience working with cross-functional teams and presenting data insights to all organizational levelsBe a self-starter, flexible, and motivated by a knowledge for developing the best possible solutions to problems Nice-to-have: Advanced degree in the above analytical fieldsFamiliarity with additional tools we use: ABM tools, Periscope, Snowflake, Data BricksExperience in a high-growth digital B2B and B2C marketing environment Please note that visa sponsorship is not available for this position. We're looking for bold and passionate people to be a part of our mission to create more perfect software. We'd love to have you apply, even if you don't feel you meet every single requirement. What's most important to us is finding authentic and accountable people who feel connected to our mission and values, not just candidates who check off all the boxes. We believe in empowering all Relics to achieve professional, and business success through a workforce model called Flex First. The Flex First model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or a combination of both. Read more about Flex First and New Relic’s vaccine policy as part of our commitment to maintaining a safe and healthy workplace in light of the COVID-19 pandemic. About Us New Relic (NYSE: NEWR) is a cloud-based observability platform that gives developers, engineers, operations, and management a clear view of what’s happening in today’s complex software environments. So they can find and fix problems faster, and deliver delightful experiences for their customers. That's why the world’s best engineering teams rely on New Relic to visualize, analyze, and troubleshoot their software. It’s the simplest, most powerful cloud-based observability platform, built to create more perfect software. All from one place. Founded in 2008, we’re a global company passionate about building a culture where all employees feel a deep sense of belonging, where every ‘Relic’ can bring their whole self to work and feel supported and empowered to thrive. We’re consistently recognized as a distinguished employer and are committed to building world-class products and an award-winning culture. For more information, visit newrelic.com. Our Hiring Process New Relic takes seriously our stewardship of the data of our thousands of customers worldwide. In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic is an equal opportunity employer. We eagerly seek a diverse applicant pool and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law. Interested in the details of our privacy policy? Read more here: https://newrelic.com/termsandconditions/applicant-privacy-policy #LI-AB1

Data Scientist

Array

Job Description Insights from data power decisions at Array. This Data Scientist role will work with product, engineering, sales and design teams to understand and analyze data from all parts of our business. You will use data science to help improve adoption and usage of our existing products and create new products. Data Scientists at Array will have a tremendous opportunity to make an impact to the top line and bottom line of a rapidly growing company.  Responsibilities Understand how our business works and drive the vision for how we share analytics and insights with our users Work with large and complex data sets to solve a wide-range of challenging problems using different analytical and statistical approaches Work closely with product, marketing and sales teams to innovate products and features to generate new revenue streams Design and implement quick proof-of-concept experiments to validate hypothesis and demonstrate viability Own the full lifecycle of model development: ideation and data exploration, algorithm design and testing, algorithm development and deployment, as well as algorithm monitoring and tuning in production. Clearly communicate insights and technical approaches verbally and in writing, including documenting analytical methodologies and other outputs appropriate for use by specialist as well as non-specialists Ensure high degree of confidence in the data products including but not limited to developing QA/QC strategies to ensure they are production-ready Essential Skills Master’s or Ph.D. in a quantitative field such as statistics, economics, industrial engineering and operations research, applied math, or other relevant quantitative field 3-6+ years of experience designing models for product analytics using statistical and machine learning techniques. Experience in financial services preferred but not required 3-6+ years of experience using advanced statistical techniques for experiment design, model development and deployment. Must have multiple, robust examples of using these techniques to measure effectiveness of data driven insights to solve business problems on large-scale data sets 5+ years of experience with one or more programming languages such as Python, R, PySpark Expert-level knowledge of SQL with strong data exploration and manipulation skills Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, product, marketing, and engineering organizations Creative problem-solver who simplifies problems to their core elements Experience with credit, transaction or other types of financial data is a big plus

Senior Data Scientist

Shippo

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce and parcel shipping volumes are exploding but so are customer expectations about shipping speed and cost. Managing shipping and logistics operations to meet increasingly exacting demands is an extremely hard endeavor, especially for SMBs who can be left in the dust by larger and far more sophisticated competitors. But this does not have to be so. At Shippo, our goal is to level the playing field by providing businesses with access to shipping tools and terms that would not be available to them otherwise. We lower the barriers to shipping for businesses around the world, and move shipping from a pain point to a competitive advantage. Through Shippo, e-commerce businesses, from fast-growing brands to mom-and-pop shops are able to connect to multiple shipping carriers around the world from one API and dashboard, and seamlessly run every aspect of their shipping operations, from checkout shipping options to returns. Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups. About the Role As a Senior Data Scientist,  you will define, identify, and execute insights empowering our customers to improve operational efficiencies and provide a world-class shipping experience. This will encompass identifying and parsing data, combining data from various sources, conducting exploratory analysis, identifying and visualizing trends, building and validating models, retraining and improving model performance, and getting it ready for deployment in production. The Intelligence team contains both data scientists and software engineers responsible for creating and implementing state-of-the-art machine learning algorithms. The primary responsibility of this role is to assist in algorithm development.  Experience with advanced machine learning, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment. Responsibilities Develop and build machine learning prototypes to solve business problems using algorithms based on machine learning, statistics, and optimization Partner with engineering/product to productionize those algorithms and create impact in production. Design ML experiments and interpret the results to draw detailed and impactful conclusions. Propose and guide the machine learning framework to drive business insight and facilitate decisions.  Establish standard methodologies for data science including modeling, coding, analytics, and experimentation. Requirements Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study Expertise in  exploratory data analysis, statistical analysis, and testing, and model development using Python and SQL 3+ years work experience in predictive analytics research that drives analytic product innovation and implementation Ability to work efficiently at scale with large data sets Ability to handle multiple mission-critical projects simultaneously while meeting deadlines Exceptional problem-solving skills Excellent oral and written communication skills Salary range reflected is an estimate of base pay and is for the primary location of San Francisco. Pay Range: $150,000 - $220,000. Base pay range may vary if an offer is made for work in a different location or a candidate with a different level of skill and experience. Benefits and Perks Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available! Flexible policy for PTO and work arrangement 3 VTO days for ShippoCares volunteering events $2,500 annual learning stipend for your personal and professional growth Charity donation match up to $100 Free daily catered lunch, drinks, and snacks Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!

Data Scientist

Shippo

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce and parcel shipping volumes are exploding but so are customer expectations about shipping speed and cost. Managing shipping and logistics operations to meet increasingly exacting demands is an extremely hard endeavor, especially for SMBs who can be left in the dust by larger and far more sophisticated competitors. But this does not have to be so. At Shippo, our goal is to level the playing field by providing businesses with access to shipping tools and terms that would not be available to them otherwise. We lower the barriers to shipping for businesses around the world, and move shipping from a pain point to a competitive advantage. Through Shippo, e-commerce businesses, from fast-growing brands to mom-and-pop shops are able to connect to multiple shipping carriers around the world from one API and dashboard, and seamlessly run every aspect of their shipping operations, from checkout shipping options to returns. Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups. About the Role As a Data Scientist,  you will define, identify, and execute insights empowering our customers to improve operational efficiencies and provide a world-class shipping experience. This will encompass identifying and parsing data, combining data from various sources, conducting exploratory analysis, identifying and visualizing trends, building and validating models, retraining and improving model performance, and getting it ready for deployment in production. The Intelligence team contains both data scientists and software engineers responsible for creating and implementing state-of-the-art machine learning algorithms. The primary responsibility of this role is to assist in algorithm development.  Experience with advanced machine learning, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment. Responsibilities Develop and build machine learning prototypes to solve business problems using algorithms based on machine learning, statistics, and optimization Partner with engineering/product to productionize those algorithms and create impact in production. Design ML experiments and interpret the results to draw detailed and impactful conclusions. Propose and guide the machine learning framework to drive business insight and facilitate decisions.  Establish standard methodologies for data science including modeling, coding, analytics, and experimentation. Requirements Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study Expertise in  exploratory data analysis, statistical analysis, and testing, and model development using Python and SQL Ability to work efficiently at scale with large data sets Ability to handle multiple mission-critical projects simultaneously while meeting deadlines Exceptional problem-solving skills Excellent oral and written communication skills Benefits Benefits: medical, dental, vision, (90% covered by the company, incl. dependents), and pets coverage Flexible PTO + work hours Dog are welcomed in the office 3 VTO days for ShippoCares volunteering events $2,500 yearly learning stipend for your personal growth Free lunch / drinks / snacks Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more! Benefits and Perks Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available! Flexible policy for PTO and work arrangement 3 VTO days for ShippoCares volunteering events $2,500 annual learning stipend for your personal and professional growth Charity donation match up to $100 Free daily catered lunch, drinks, and snacks Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!

Senior Data Scientist

Dataminr

Who you are: You're a dedicated Senior Data Scientist who has experience sorting, analyzing, and delivering relevant information from massive amounts of unstructured data. You will have experience analyzing data, asking, and answering data-driven and key product/business questions. You will have experience building and integrating Deep Learning and Machine Learning models for production and communicating results to stakeholders from different groups. You will work with engineers, product managers and other teams to solve challenging problems with your data science skills. You are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and are a passionate builder of solutions that directly contribute to products.   The opportunity: Iterate quickly while making savvy choices in implementing approaches to analyze massive amounts of data.  Work directly on all aspects of Data Science problems with other group members: from inception (brainstorming), to data exploration and implementation of methods created in-house, to productionizing approaches to apply our AI models. Work as a liaison between the AI Group and our team of Domain Experts in defining the right problems to address and in rapidly answering data-driven questions on impactful real-world events. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Senior candidates are expected to lead technical areas and/or people. Minimum qualifications M.S. in Data Science, Machine Learning, Computer science or a related field. Ph.D. studies in any field a plus (Math, Statistics, Physics, etc.). 5+ years of work experience in machine learning required (NLP, Computer Vision). Experience in Scala, Python, or similar languages. Familiarity with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc) Ability to communicate complex quantitative results in a clear, precise and actionable manner. Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment. Ability to work both independently and collaboratively within a team. Why you should work here: We recognize and reward hard work with: company paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance 401(k) savings plan with company matching flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses We want you to be your best, authentic self by supporting you with: a diverse, driven, and passionate team of coworkers who want you to succeed individual learning and development fund and professional training generous paid time off; including sick leave and 100% company paid parental leave in-office perks such as a kitchen stocked with snacks and beverages, and catered meals remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation and health and fitness app reimbursements …and this is just to name a few! Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. #LI-AG #LI-Remote

Data Scientist Product Analytics

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands – Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways. Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community. In this role, you would partner closely with our Visual Discovery team, whose focus is bringing shoppers back to Etsy with rewarding and engaging experiences and items. We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here. About the Role In this role you will: Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team. Qualifications About YouIdeally you'll bring: 2-4 years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Understanding of the principles of A/B testing, and experience crafting and analyzing experiments.Proficiency in SQL and familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Experience with Looker, Tableau, or other data visualization software is a plus.Desire to advance your technical skill set and to apply new methods to impactful questions.Ability to communicate your insights verbally, visually, and in writing, and care for the quality and integrity of your work.Ability to play a key role on a cross-functional team.Passion for subjects such as experimental design, data visualization, and statistical analysis techniques. Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.

Senior Data Scientist Trust Safety

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct e-commerce brands - Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description We are looking for an experienced Analytics professional to support our Trust & Safety team, which focuses on reducing risk in our marketplace. Your team’s work is foundational to Etsy’s dedication to providing world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community. As Senior Data Scientist partnered with Trust & Safety you will work to consistently deliver clear insights while providing access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Do you want to help Etsy tackle complex risks including hate speech in the marketplace, money laundering, and fraud prevention? If so, this could be a great match. This is a full-time position, reporting to the Senior Manager of Risk & Operations, Analytics. Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act. About the Role In this role you will: 4+years of proven success as a data analyst focused on supporting teams with data access, reporting, and insightsExperience employing analytics to guide strategy in areas like payments compliance, content moderation, AML, etc.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable, and express your recommendations with both conviction and finesse.High proficiency with advanced analytical techniques and SQLAbility to communicate insights to senior executives verbally, visually, and in writingA trust in and commitment to Etsy’s vision, mission and values. Qualifications About You Ideally, you'll bring: 4+years of proven success as a data analyst focused on supporting teams with data access, reporting, and insightsExperience employing analytics to guide operational process and strategy in areas like content moderation, IP infringement, etc.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable, and express your recommendations with both conviction and finesse.High proficiency with advanced analytical techniques and SQLAbility to communicate insights to senior executives verbally, visually, and in writingA trust in and commitment to Etsy’s vision, mission and values. Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.

Senior Data Scientist Product Analytics

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands â�� Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, youâ��ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways. Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community. In this role, you would partner closely with our Search Ranking & Matching teams, whose focus is improving the relevance and personalization of search page results via machine learning models. We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here. About the RoleIn this role you will: Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools. Qualifications About YouIdeally you'll bring: 4+ years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Experience guiding product teams to identify high-impact opportunities, setting meaningful goals against key outcomes, and driving decisions. Experience working with Search and/or Machine Learning focused product teams is a plus!Proficiency in SQL, and experience with R/Python and other scripting/automation techniques; bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.Deep understanding of experimentation theory and practice.Desire to advance your technical skills and to apply new analytical methods to impactful questions.Ability to distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.Experience acting as a mentor, guiding others to make their own work better and more efficient. Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.

Senior Data Scientist Forecasting

Etsy

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands – Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description We are looking for an experienced data scientist to join our Analytics & Strategic Finance team. As a Senior Data Scientist, you will lead our forecasting work while providing in-depth analyses of business trends that empower our senior leadership to make strong business decisions. Do you find joy in developing statistical models and conducting exploratory analysis? If so this could be the perfect match. This is a full-time position, reporting to the Director of Marketing Analytics & Strategic Finance. This person will be located (eventually) in Brooklyn. We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here. About the Role In this role you will: Build company-wide forecasts for sales and other key metricsConduct exploratory analysis to reveal insights about our business and buyer behaviorDevelop statistical models (e.g. linear, logistic, time series) to decompose and predict business trendsCollaborate with Strategic Finance peers to produce monthly and quarterly financial reviews for the Executive Team and Board of DirectorsArm business leaders with the data and insights they need to make informed decisions Qualifications About You Ideally, you’ll bring: 4+ years as a data scientist or data analyst with significant forecasting experienceMastery of SQL and proficiency with either R or Python; experience with Looker or other visualization software is a plusStrong financial and statistical modeling skillsAbility to distill complex insights into compelling narratives for senior executives, both verbally and visuallyA passion for fast-paced problem solving in a dynamic work environmentA desire to continue developing your skill set while sharing new analytical approaches with your peersA trust in and commitment to Etsy’s vision, mission and values Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.

Senior Data Scientist Growth Personalization

Hopper

Minimum qualifications • A degree in Math, Statistics, Computer Science, Engineering or other quantitative discipline • A minimum of three years experience as a data scientist using data mining, machine learning, statistical modeling algorithms • Strong analytical skills and creative problem-solving ability • Ability to answer complex business questions with data, with the curiosity to dive deep and keep asking good questions • Proven ability to communicate complex technical ideas to a non-technical audience • Experience in Pandas, Python & R or other large scale data prep and analysis tools • Experience with SQL databases Preferred qualifications • Experience with recommender systems • Experience with streaming event processing • Proficiency with Unix/Linux environments • Experience collaborating with engineers and machine learning engineers in production data science deployment environments • Ability to design, create, execute and measure consumer-facing experiments • Experience with business reporting tools such as Tableau, Amplitude • Able to provide thought leadership on personalization About the Job We’re looking for a motivated data scientist and data wrangler to help us make the Hopper app more engaging and personalized for our users, in order to increase engagement frequency, retention, conversion and ultimately the lifetime value of our customers. You might be a great fit for our team if you’re a self-starter who thrives on uncertainty, and who’s passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver value to our customers.  To succeed at Hopper you need the talent, drive, and experience to thrive in a fast-moving, high-performing company. We collect large volumes of user tracking data along with pricing information for air, hotels, cars and more.  We need to create better ways of leveraging this data to personalize the experience users have with us.  Our goal is for the Hopper app to feel like your trusted travel advisor: we remember your preferences, we give you relevant recommendations and helpful advice, and make you feel smarter about buying travel. We need to develop better systems to aggregate, share and wield the user behavior data we already collect across Hopper, as well as creating new mechanisms to capture user intent throughout the purchase journey.  Specific challenges include making personalized product recommendations in app; orchestrating more personalized conversations through push notifications, email and SMS; and experimenting with incentives to drive re-engagement. Responsibilities Ship impactful data-driven product features that increase user lifetime value Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice Have ownership of the full data science lifecycle, including partnering with product, engineering and business teams to deliver customer focused products. Conduct ad hoc exploratory analysis and rapid prototyping to refine product refinements Create appropriate dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets Collaborate effectively with a multidisciplinary team Benefits Well-funded and proven startup with large ambitions, competitive salary and stock options Unlimited PTO WeWork All Access Pass OR Work-from-home stipend Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact 100% employer paid medical, dental, vision, disability and life insurance plans Access to a 401k (US) or Retirement Savings Plan (Canada) Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has seen its valuation more than double since early 2020, reflecting the strength of our mobile-only marketplace and the value customers are deriving from our proprietary suite of fintech offerings.  Here are just a few stats that demonstrate our recent growth: - Hopper’s valuation is now over $3.5B, reflecting the strength of its mobile-only marketplace and value customers are deriving from the company’s proprietary suite of fintech offerings. - Based on its current run rate, Hopper is pacing towards 330% revenue growth compared to last year, and it has already surpassed its pre-pandemic revenue peak from Q1 2020 by over 100%. - Hopper has over 60 million downloads, consistently ranks as one of the most downloaded travel apps, and now has a larger air travel market share in North America than it did before the pandemic (source: MIDT).  - The company is on track to surpass $1.5 billion in travel sales this year, with 40% coming from the hotel and car rental categories.  - Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent 50% of its revenue.  - Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel fintech.   The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually. All this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!

Senior Data Scientist International Growth

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 are looking for a results-oriented and strategically minded Senior Data Scientist, Product Analytics to work with our International Growth team as Reddit expands its user base to emerging markets. This is a truly zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield and white space opportunities on how to grow Reddit’s presence in emerging markets. 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 emerging markets as a key opportunity 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 emerging market 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 emerging market users, as well as uncovering opportunities for new experiences that are optimized for lower bandwidth 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 emerging market roadmap and initiatives as well as play a key role in Reddit’s first emerging markets playbook Become the expert at understanding user behavior and long-term trends in emerging markets Generate data-driven insights that propose next steps in the strategic roadmap including opportunity sizing new initiatives such as alternative onboarding and leveraging new technologies localized to emerging markets Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards Who You Might Be: 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 emerging market preferred

Senior Data Scientist

Deliverr

Our Mission: In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry. Our Team: Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital. Sr. Data Scientist - ML/ Operations/ Experimentation: The Data Science team is responsible for Deliverr's predictions, optimizations, and analytics. As a Data Scientist, you will power Deliverr’s decisions by owning and developing a specialized domain of Deliverr’s models. What you'll do: This role will specialize in at least one of the following domains: Machine learning: develop models forecasting various phenomena. Examples include: How is product X’s future demand distributed across geography and time? What is carrier X’s speed between points A and B? How likely are service failures in warehouse / carrier networks? Operations research: develop optimization models. Examples include: What is the best way to distribute a product's inventory across a warehouse network? What is the best way to fulfill an order? How do we do the above in the face of warehouse capacity constraints, changing transportation network performance, dynamic demand forecasts, etc.? Experimentation: design and implement experimentation initiatives. Examples include: How do sellers behave given different features / pricing models? How do products' demand profiles change as a result of changing fulfillment options? How do we optimize our marketing budget? What we’re looking for: 4+ years of experience in a relevant role. Academic background in a relevant field. Proficiency in SQL and Python (or similar language) Ability to work, prioritize, and adapt in a rapid-growth startup. Knowing the difference between sophisticated and effective.

Data Scientist

Ripplematch

Working at RippleMatch: At RippleMatch, we build technology to make early-career hiring more effective while increasing access to opportunity. Figuring out where to begin your career is a difficult and overwhelming decision. Traditional career services and job boards with millions of postings aren't very helpful. It's also not a fair contest. For many students, opportunity is limited based on where they attend school and their personal networks. RippleMatch is changing this. Our platform is a two-sided marketplace — on one side, we help early-career candidates from around the country discover job opportunities that match their skills and interests without effort. On the other side, RippleMatch helps hundreds of employers like Amazon, eBay, and Teach for America hire top talent virtually and build diverse teams. Our product leverages automation and intelligent workflows to make finding your dream job or hiring the right candidate easier, faster, and more equitable than ever before. Since launching RippleMatch from a college dorm room in 2016, we've raised $34 million in venture funding, helped tens of thousands of users find jobs, expanded to 1,300+ colleges & universities, and brought on hundreds of leading employers as customers. Our tight-knit team of 80+ (& growing!) talented people work hard, celebrate wins, and care deeply about changing the way finding a job works. The Role:  We are looking for a Data Scientist to join our highly collaborative research and development team. We are looking for someone who is mission-driven, can wear many hats, and is excited about leading our data science efforts. In addition to working closely with the product, you will work closely with engineers, teaching and learning from each other as much as possible. You will also work closely with QA and Product Management to participate in and shape our Agile processes.  Our team is composed of empathetic and hard-working individuals that care deeply about our mission and building the highest quality product we can build. The team enjoys and excels at mentoring and learning from each other. In general, we value collaboration, communication, and a “no job too small" attitude. We encourage our team members to pair frequently. We host weekly guilds around various technical topics to share knowledge across the team where all members are encouraged to propose and lead workshops whenever possible! We are a remote first team, but have plenty of team events - from wine tastings, magic shows, and chess club we work hard and have fun. Tech stack: Python, Pandas, SciKit, PostgreSQL, SqlAlchemy, AWS, Kubernetes, Docker, DataDog, Sentry, TypeScript, VueJs, Github Actions, Selenium, Jest, Pytest, and more! Who you are: You can communicate complex ideas in a clear and actionable way You can visualize data in a way that is effective and easy to understand You have a “no job is too big, and no job is too small” attitude You own your mistakes, and share your successes You are highly collaborative, and love working with others You come up with creative solutions to complex problems You are curious, and proactively fill gaps in your knowledge You care deeply about the mission of RippleMatch What we are looking for: Deep intellectual curiosity and passion for data science Python (Pandas and SciKit) experience Experience with Machine Learning and AI Experience with relational databases (PostgreSQL) Highly collaborative working style  Excellence at trade-off analysis Strong proficiency in statistical analysis Quick learner Strong emotional intelligence and communication skills Attention to detail Preferred Qualifications: 4+ years of Data Science experience Experience with assessing the trade-offs of different machine learning models Experience working closely with engineering team to drive technical decisions Experience working at a start-up Experience working directly with management Culture & Perks: At RippleMatch, we understand that our success stems from the people we have on board, which is why we invest heavily in our team’s well-being and growth. We offer a full slate of perks including equity, paid vacation, a pre-tax commuter program, discounted Citi Bike and Class Pass memberships, and — our favorite thing — comprehensive FREE healthcare benefits. We work hard to foster a culture of constant self-improvement, true ownership, and positivity. At our core, we are a tight-knit team that works hard, celebrates wins, and cares deeply about changing the way finding a job works. We are going to fundamentally transform the hiring landscape and won’t settle for anything less. RippleMatch is a remote-first company. We believe in helping to shape the future of work and creating accessibility to a great working environment for all, regardless of location. This means that all of our openings can be worked remotely. Our physical office is conveniently located near Union Square in New York City and all employees keep Eastern hours regardless of where they are based. All RippleMatch employees are encouraged to work remotely or come into the office as much as they want or not at all. To ensure the health and safety of our team, RippleMatch does require proof of vaccination for all employees. We believe in maintaining a culture that can cut across distance to suit our employees who choose to be remote as well as those who prefer to come in office. We host monthly virtual events as well as monthly in-person events, team-wide virtual activities every month like Wellness Challenges, and a time to hear from our founders regularly regardless of location. Creating strong bonds between RippleMatch team members means a lot to us and, while we know that this can be done remotely, we also invest heavily in creating opportunities to make sure remote employees get plenty of in-person time. We offer in-person onboarding, travel benefits and virtual team building activities like the ones above! RippleMatch is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

Lead Applied Research Scientist Us

Babylon Health

In any healthcare system, decisions are made that affect people's lives; from predicting risk and understanding symptom presentations to deciding the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms represent a leap forward in the quality and accessibility of healthcare through automated, personalised clinical decision making. At  Babylon, our goal is to build the next generation of algorithms that will operate through digital healthcare platforms to deliver the highest standard of care for millions of our members globally. We are looking for a highly motivated, technically adept Staff/Lead AI Research Scientist to help us build the next generation of algorithms for clinical decision making and population health management. You will have a strong interest in developing and applying state of the art machine learning methods to clinical decision making, and ideally have a strong understanding in a relevant area including but not limited to AI in medicine, causal inference & graphical models, time series forecasting, reinforcement learning, and decision support systems. As a senior member of the Applied Sciences team, you will report directly to the Chief Scientific Officer, and will pursue collaborative applied research projects within a multidisciplinary team of researchers including: machine learning researchers, statisticians, epidemiologists and clinicians, who are working together to build a platform for healthcare delivery that will directly impact and improve the lives of millions globally. Enter job/role specific opening WHAT YOU’LL WORK ON Lead the development of state-of-the-art algorithms to:  Identify optimal treatment effects/interventions from observational data Risk stratify populations for effective population health management. Advise and collaborate on ongoing research projects Provide technical guidance and mentorship to junior researchers Defining experimentation and data collection strategy  Design and implement state-of-the-art ML approaches for risk prediction and causal simulation  Provide thought leadership by publishing research papers at leading conferences and in top tier journals, as well as communicating research through media and outreach Presenting findings from research to senior stakeholders across the business, to inform strategic decisions  WHAT WE’RE LOOKING FOR Proven track record leading applied AI research projects, ideally in risk prediction, individual treatment effect estimation, medical time series forecasting, or clinical decision making Comfortable working with researchers and non-research stakeholders in an applied science environment Comfortable working with large aggregated datasets, and ideally with healthcare data Ability to construct productionisable prototypes in a collaborative codebase  Understanding of core concepts in population health, primary healthcare or epidemiology is a plus WHO YOU ARE Strongly motivated by Babylon’s mission to provide accessible and affordable healthcare to everyone, and have a strong interest and knowledge of causal inference and machine learning techniques.  Comfortable working in a research setting, and should have applied industry experience. High degree of individual initiative, and an ability to engage stakeholders and other teams within Babylon. WORKING AT BABYLON  Whether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact. WHO WE ARE We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available. At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time… DIVERSITY AT BABYLON We believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.

Senior Research Scientist

Babylon Health

In any healthcare system, analyses are performed and decisions are made that affect people’s lives; from predicting risk and understanding symptom presentations to determining the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms represent a leap forward in the quality and accessibility of healthcare by assisting and co-driving more personalized, technology-powered clinical decision making/support and population health management. At Babylon, our goal is to build the next generation of AI / machine learning algorithms and systems that will operate through digital healthcare platforms and products to deliver the highest standard of care for millions of our members globally. To achieve that goal, in collaboration with other members of the Applied Sciences team, Research Engineers at Babylon, apply, support and contribute to cutting-edge research, leveraging data collected through our digital health platform and from subject-matter experts, as well as publicly available third-party data. This research contributes to the development and improvement of existing and future digital health products and services to support the health of our members globally. We are looking for a highly motivated, technically adept Senior Research Engineer to join the Applied Sciences team, a multi-disciplinary team of AI research scientists & engineers, data scientists, epidemiologists & health economists, working in close collaboration with clinical, product and engineering teams to deliver healthcare products to improve the lives of millions globally. WHAT YOU’LL WORK ON Strong mathematical ability to deeply understand state-of-the-art work Expert in Python, or/and other similar language(s) Ability to optimize research code (e.g. implementing vectorization or low-memory techniques) Knowledge of developments in experimental platforms and frameworks from across the field. Good organizational skills (including time and task management, and working efficiently as part of a team) Good communication skills. Able to explain and articulate technical and scientific ideas in written and verbal formats (including presentations) WHO YOU ARE The ideal candidate: is compassionate and caring towards others. They respect the views and ideas of  others; works in a straight-forward, collaborative and inclusive way and is non-political; is tenacious, in the pursuit to delight our users. They strive for excellence in all they do and always look to improve our service and product; regularly seeks to turn ideas into action and injects creativity into every touch point. They question common practice to challenge the norm; frequently has a can-do attitude and a positive viewpoint; takes ownership and always delivers against what is agreed. REQUIRED SKILLS AND EXPERIENCE Masters degree (or equivalent knowledge and experience) in technical discipline, e.g. computer science, physics, maths, and 3+ years of engineering experience. Relevant scientific research experience. Experience with data science / ML libraries & frameworks (e.g., PyTorch, TensorFlow, PyMC3, Pyro, Stan, scikit-learn, etc.) Expertise with relevant skills for programming, including: use of version control systems; use of a ticket/project management system like JIRA; writing and use of tests. Excellent knowledge of computer science and software engineering overall. Broad knowledge of AI / ML, in particular of relevant AI/ML techniques and frameworks. Able to communicate the impact of engineering, research and scientific concepts to non-technical audiences. NICE TO HAVE Experience with development and deployment of production software. Experience of front-end / full-stack development (including for prototypes and demos). Expertise in one or several areas of ML/AI Relevant publications in ML / AI / computer science, including conferences (such as NeurIPS, ICML and ICLR), journals and workshops. Experience with some of these areas computer science subject e.g. programming language theory or/and software verification medicine/healthcare, in particular experience of applying AI/ML in healthcare settings probabilistic programming causality counterfactual inference Bayesian modelling and inference WHAT WE OFFER Competitive salary package including annual bonus scheme 25 days holiday + bank holidays Flexible working hours and remote working. Private health care including physio and wellbeing for you, your partner and children Life insurance cover of 4x salary Unlimited drinks, fruit and a great selection breakfast options Weekly yoga sessions Pension contribution matched up to 5% The Babylon App! Gain access to unlimited free consultations for you and your nearest and dearest. WORKING AT BABYLON  Whether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact. WHO WE ARE We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available. At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time… DIVERSITY AT BABYLON We believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.

Senior Data Scientist Analytics Messaging Experience

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 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 social graphs, LTV analysis, funnel 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

Lokavant

  About the Opportunity Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that. We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models. Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.   Key Responsibilities Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling. Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements. Perform exploratory data analysis and produce easy-to-understand visualizations highlighting key insights. Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process. Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy. Mentor and be mentored by data scientists of varied experience levels and subject matter areas.   Minimum Requirements 3+ years of relevant experience in an analytical role involving data science and statistical modeling High proficiency in Python and SQL. Bonus points for R, or other scripting languages. Experience applying advanced statistical models to real world business problems. Bonus points for experience building data models, and a solid understanding of the “modern data stack”. Bonus points for experience with Looker, Tableau or other BI visualization tools. Exceptional written and verbal communication skills. Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills. Ability to work as part of a collaborative cross-functional team in a fast-paced environment. Bachelor’s or Master’s degree with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field.   Preferred (Nice-to-have) Qualifications Experience in the life sciences industry Experience with healthcare data, ideally clinical/operational clinical trial data Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.) Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)  

Data Scientist

Leapyear

Data scientists at LeapYear solve problems at the cutting edge of data privacy and sophisticated analytics for the largest names in finance, healthcare, and technology. We apply LeapYear software to enable our customers to unlock the full potential of their most sensitive data while ensuring the confidentiality of the individuals or entities in that data. In a world where privacy is at the forefront of data practice and policy, our data scientists are trailblazers for a near future where confidentiality is always respected and maintained even as data is shared and leveraged as never before possible.  Our technology ensures differential privacy, a widely recognized standard of data privacy that enables all data - including sensitive information - to be utilized for analytics and modeling while maintaining mathematically-proven privacy protection. The intersection of analytics and privacy creates unique opportunities for LeapYear data scientists. In this role you’ll develop a world-class understanding of how to apply privacy technology to solve real problems, a skill that will put you at the forefront of data science for years to come. Note that prior experience with applying differential privacy is highly beneficial but not required for those with a strong aptitude for applied statistics and data science. Responsibilities Become an expert user of the LeapYear platform with its breadth of analytic and machine learning capabilities that maintain the mathematical standard of differential privacy Work with data at scale, leveraging the LeapYear platform’s Spark compute engine to support fast, distributed processing of massive datasets Interact with customers to understand and solve their problems and deliver high performance solutions across an exciting range of industries  Influence the direction and development of LeapYear software by pushing the limits of current capabilities and collaborating with product and engineering teams to blaze new trails Requirements MS or PhD in a quantitative discipline, e.g., Sciences, Mathematics, Engineering, Economics   Strong mathematical fundamentals, particularly statistics and linear algebra  2+ years of professional experience as a data scientist or comparable role   Applied experience and theoretical understanding of basic machine learning methods of regression and classification (supervised and unsupervised), such as linear models and tree-based methods. Familiarity with more advanced methods is beneficial  Programming: advanced Python, familiarity at least 2 other common languages (e.g., SQL, R, SAS, MATLAB); ability to translate and communicate code across languages  Creative problem solver with the ability to drive a project and work both independently and in a team Outcome oriented, motivated by high impact opportunities  Excellent verbal and written communication Preferred Professional experience in consulting or similar customer-centric environment Graduate-level studies or equivalent experience with differential privacy or other cryptographic privacy techniques  A portfolio of projects (GitHub, papers, etc.) is a plus Experience in financial services  A Few of the Perks Culture of teaching and learning Competitive compensation package of salary and equity Catered lunch every day Company outings Build your ideal work station Generous health insurance plan Relocation support and visa sponsorship

Senior Data Scientist

Goodrx

GoodRx is America’s healthcare marketplace. Each month, millions people visit goodrx.com to find reliable health information and discounts for their healthcare — and we’ve helped people save $30 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others. Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans. We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel. With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role! About the Role GoodRx is looking for self-driven and motivated Data Scientists who bring diversity and add new perspectives to our growing team. We are seeking someone with the curiosity to discover questions and subsequently answer them. This individual will have a deep understanding of statistical modeling, a solid mathematical foundation, and strong communication skills. If you join us, you will be a lead technical contributor on advanced projects across product and marketing in areas such as customer retention, engagement, recommendation systems, and pricing. Responsibilities: Lead projects and architect modeling solutions around pricing, growth, and marketing Provide mentorship to peers and advise stakeholders looking to ensure rigor in analyses Build state-of-the-art forecasting, prediction, and recommendation systems that generate insights around user behavior, product utilization, and audience segmentation  Help define the technical roadmap and introduce new technical capabilities that help the team level up Skills & Qualifications: 6+ years of work experience in data science with significant business value contributed through end-to-end model deployment; ecommerce/healthcare experience preferred Deep understanding and proven track record of using data science within career field; open source contributions, publications, intellectual property/patents, etc. preferred  Master’s degree in a quantitative field; advanced degree with relevance to data science, machine learning, or operations research preferred Experience deploying production-level realtime models at scale Strong first principles understanding of common machine learning algorithms (e.g., clustering, tree/forest techniques, OLS, linear/non-linear optimization, etc.) Fluency in Python and relevant libraries (pandas, numpy, etc.),  Enterprise experience with RedShift/BigQuery, Spark, and Amazon Web Services (AWS) GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $30 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.

Senior Full Stack Data Scientist Returnly

Affirm

At Affirm/Returnly, we value you as a whole person. We care about the skillset you bring to the table, but more importantly, we care about the kind of person you are, and the culture and attitude you bring to the table. As a Senior Full Stack Data Scientist, you will build data products that will affect thousands of customers with the objective to improve user experience, drive revenue and optimize processes. You will find success in this role if you are a seasoned data scientist who enjoys to design, build and implement statistical models, covering the whole process end-to-end from idea to production. What you'll do Solve new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection, SaaS integration, model serving Work cross-functionally with some of the best people in different disciplines like data science, analytics, finance, product management, marketing & sales, design Break down business problems into statistical and machine learning problem formulations Explore, identify, query and correlate data from several different state-of-the-art data sources (Snowflake, Databricks Delta, Redis, etc.) Use advanced statistical methods to identify meaningful patterns, producing insights from data Develop robust classification, function approximation and anomaly detection models based on relational, text, image and time series data Use feature engineering to extract the best signals for a problem and apply suitable regularization techniques Develop and write production grade code in Python for our back-end microservices and REST APIs that serve our machine learning applications Drive quality by writing unit, integration, and performance tests in a continuous delivery environment What we look for 6+ years industry experience Very good understanding of applied statistics, such as distributions, hypothesis testing, regression, classification, etc. Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, naive Bayes, SVM, tree-based models, HMM, neural nets, deep learning etc. Thorough, expert level knowledge of data structures, algorithms, object oriented programming and design patterns in Python Deep understanding and experience of various technologies, frameworks and libraries in the Python ecosystem Strong familiarity with *nix environment including bash and command-line tools Experience with Git version-control system Strong experience with relational and non relational databases, including SQL Familiarity of web service technologies and REST best-practices Basic understanding of distributed systems in a cloud environment, and event-driven architecture Bachelors or Masters degree in Computer Science, a related field or equivalent experience Strong interpersonal and communication skills are required Excellent command of the English language, both written and spoken is a must for communicating with a global team Proven track record of shipping models in a delivery-focused environment Exposure to Amazon Web Services Prior startup experience a big plus Location - Remote Spain #LI-Remote

Data Scientist

Outdoorsy

Outdoorsy is looking for a Data Scientist to join our Data team! If you’re passionate about the outdoors and would like to work in a fast-paced environment, then we want you! Fun fact: Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.Job SummaryAs a Data Scientist at Outdoorsy, you will be instrumental in leading the charge of how we leverage data in powering our products to optimize solutions and experiences. You will own a wide variety of responsibilities from initiating and scoping potential opportunities, using data to discover insights and diagnose problems, and building data solutions to solve key business challenges. Responsibilities Design and implement machine learning algorithms for various business initiatives such as automated risk analysis, dual-sided marketplace pricing, and recommended rentals to drive key business metrics such as user retention and booking conversions Analyze large-scale structured and unstructured data to derive analysis and insights to identify ML opportunities for optimizations in the business Run experiments to test hypotheses to iterate on features and optimize user experiences Implement ETL and data pipelines of data cleaning and aggregation for analytical and modeling purposes Partner with product, engineering, and analytics team to initiate, lead, and drive to completion complex strategic projects to optimize business KPIs Drive company-wide impact by leveraging data to identify opportunities and trends through data-centric presentations to influence our business strategy and strategic goals Qualifications A degree in a quantitative discipline (e.g. Mathematics, Applied Mathematics, Operations Research, Physics, Statistics, Economics, etc) or equivalent quantitative experience 5+ years of relevant work experience (preferred in one of the fields: dynamic pricing, search and recommendation, online experimentations) Strong skills in SQL and highly proficient in Python and ML packages; experience working with AWS and GCS preferred Solid understanding of ETL and data pipelines; experience with Apache Airflow is preferred Experience with structured and unstructured data for data mining and analysis Proven record of building, designing, and managing production machine learning models Strong understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization, neural network and natural language processing Hands on experience with statistical analysis techniques, including hypothesis testing, model evaluation, and feature tuning Strong data presentation and communication skills with the ability to simplify and explain complex problems in compelling narratives across technical and non-technical audiences Benefits & Perks Opportunity to help build a company from an early stage Competitive salary Equity in one of the world's fastest growing companies Comprehensive health and welfare benefits 401(k) Match Unlimited PTO 2 paid RV rentals per year-- we believe in balance and taking the time to nourish mind, body, and soul. About usOutdoorsy is the most trusted RV rental and outdoor experiences marketplace on the planet. We have grown from a lofty white-board idea in 2015 to over $1B in total transactions. Outdoorsy’s mission is making memorable outdoor experiences accessible to everyone. We are creating jobs and helping individuals, couples, and families realize financially life-changing freedom. With offices worldwide in the US, Canada, Australia, Europe and the UK, we’re mobilizing the 56+ million idle RVs and campervans around the world to ensure everyone has the access, choice, and opportunity to safely spend more time outside.We're passionate about our customers, collaborative consumption, community, and entrepreneurship. We’ve been motivated by our values from day one: we always put the customer ahead of ourselves. We like winning. We make long-term progress in the world and repay our gratitude in every community interaction.Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.

Data Science

Relationalai

About the Data Science Team In the Data Science Team, we are using state-of-the-art machine learning to build applications that help  enterprises to take advantage of new capabilities with a focus on knowledge graphs. Examples of applications that are usually focused on knowledge graphs include, but are not limited to, search, recommendation, natural language understanding, and computer vision. The Opportunity (aka role description) Instructions: As a Data Scientist you will help our product and our customers to build machine learning applications that will solve significant real-world problems. You will have the opportunity to work with our top-talent team, on real-world data where your work will have a direct business impact.  What You Will Do (aka responsibilities) Translate business problems to machine learning applications Stay up-to-date with state-of-the-art machine learning models relative to the area of your work Push the boundaries of current approaches  Design and implement state-of-the art machine learning models Day-to-day collaboration with the members of our data science team  Who You Are & What You Bring (aka qualifications) Required Bachelor's degree in Computer Science, Statistics, Economics, Information Technology or related field  with a specialization in machine learning Experience in designing scalable machine learning models A good portfolio of machine learning projects Natural curiosity, problem solving skills, communication skills Proficiency in Python  Nice to have Masters or PhD degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in machine learning Experience with Tensorflow, PyTorch, or other related machine learning technologies  Familiarity with deep learning models Hiring Process Qualified candidates can expect the following hiring process:   One 45 minutes screening meeting with our Head of Data Science A 45-60 minutes meeting with one of our senior Data Scientists on technical communication skills A 45-60 minutes meeting with one of our senior Data Scientists on machine learning expertise A 45-60 minutes meeting with one of our senior Data Scientists on coding All calls will be conducted using zoom with video. 

Data Science Manager Help Journey

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.  Gusto is looking for an experienced data science leader to head our Employer Help Journey Data Science team, a critical component of how we build a software product and service organization to delight our customers. The Employer Help Journey team focuses on ensuring our customer base is successful at engaging with Gusto’s full suite of offerings, and can access the assistance and service they need when they need it. In this role you will lead a team of data scientists conducting experiments, advanced analytics and building machine learning solutions to support and augment Gusto’s Product and Service organizations. You will also partner closely with our extended Employer team - including engineers, product managers, designers, customer service providers and more. The Data Science team leverages Gusto’s data to deliver data-informed insights for our customers and guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. Here’s what you’ll do day-to-day Lead Gusto’s Help Journey Data Science team - recruit, hire, empower and coach a team of data scientists working to support Gusto’s customer base through a software solution and service that our customers love. Partner with Product, Customer Service, and Operations teams to drive data efforts for all Help Journey workstreams, using all of the tools in our data science toolkit - making the product more intuitive and delightful, helping customers find the answers to their own questions themselves and helping our customer service team provide the right answer quickly when a customer needs us.  Work with our engineering, Salesforce and Customer Service counterparts to develop and deploy critical technology for tracking, parsing and addressing customer needs. Identify new opportunities to leverage data to improve Gusto’s products and help our business Present and communicate results to stakeholders across the company Here’s what we're looking for: 8+ years of data science experience, with 3+ years leading a growing data science team Very strong communication and cross-functional partnership skills Able to lead both analytical and machine learning/algorithmic data scientists and work streams - we have both on this team! Experience optimizing or analyzing service organization challenges at consumer or SMB technology companies a plus Strong programming skills - comfortable with coaching and reviewing all phases of the data science development process, from initial analysis and model development all the way through to deployment Experience applying advanced statistical and modeling techniques to solve business problems Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page. Our cash compensation range for this role is $147,000 - $206,000 in Denver & most remote locations, and $178,000-$243,000 in 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 at Gusto. Gusto 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. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is 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].

Senior Data Scientist Product Analytics

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.  About the Role Gusto is looking for an ambitious mid- or early-career product analyst with a solid grounding in statistics and data science and at least a few years experience applying this knowledge in a business environment. In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product and Design teams to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver insights.  Gusto’s Data Science team leverages Gusto’s data to deliver data-informed insights for our customers and guide product direction and decision-making. We operate full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. Here’s what you’ll do day-to-day: Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy Design and analyze customer-facing experiments Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting Be a strong voice for a data-informed point of view within our engineering, product and design organization Collaborate with UX research to design surveys and provide quantitative insights on customer experience Here’s what we're looking for: At least 5-10 years experience in a similar role, ideally at a product-focused software company Strong SQL skills, and comfortable in at least one scripting or statistical programming language (ideally Python and/or R) Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion Passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers MS or PhD in a quantitative field + at least 1-2 years experience in a business environment, or BS or Data Science Bootcamp graduate + equivalent experience in a business setting considered Our cash compensation amount for this role is targeted at $127,000-$206,000/year in Denver & most remote locations, and $154,000-$243,000/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 at Gusto. Gusto 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. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is 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].  #LI-Remote

Senior Data Scientist For Risk

Axiom Zen

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 open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs 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, including information about benefits and perks.

Data Science Co Op Summer

Clearco

Work Term Length: 4 monthsAnticipated Start Date: May 2, 2022 Clearco is the world’s largest e-commerce investor. Our equity-free capital products are here to help entrepreneurs scale their businesses while maintaining 100% ownership and control. Clearco is growing, and we’ve already been able to fund 5500+ businesses in 7 countries. By using a bias free approach in our products, we’ve been able to fund 8x more female founders than traditional Venture Capital firms and we are removing barriers for underserved entrepreneurs. The Clearco vision is simple: remove the obstacles between brilliant ideas and brilliant businesses. Ready to join our mission? Apply below! What your day-to-day will look like: Assisting in conducting reproducible research and iterate over machine learning pipelines to improve our business metrics while being constrained by tight deadlines Working with a team of data scientists to help transform complex data into meaningful conclusions in a digestible format Presenting data using data visualization techniques Using Statistics and Data Science to provide data-driven solutions across the organization Collaborating with cross-functional teams You will thrive if you: Are an upper year student with a few co-op terms under your belt Are comfortable with SQL and can use Python, including pandas Have exposure to analyzing data and conducting analyses Are familiar with common regression and classification algorithms Are familiar with the notions of variance and statistical significance Are comfortable with software engineering including cloud and code versioning *Please note that you have to be currently enrolled in a recognized post-secondary program. Be sure to check your inbox after submitting your application for details on next steps.  Here’s what you can expect from Clearco: Meaningful work, impact, and autonomy This isn’t your regular co-op job (forget fetching coffee and effortless tasks). We pride ourselves on ensuring our students are doing the most meaningful work they’ve ever done. You’ll own projects from start to finish, just as our full-time employees do. You’ll learn more here than you would anywhere else.  Mission driven, passionate teams, and an inclusive culture We understand that with autonomy comes trust and respect. We pride ourselves on our inclusive environment and team culture. You’ll join a mission driven team made up of other students and entrepreneurs that are so excited about what we do here.   Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation.  Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please let us know at [email protected] and we’ll work with you to meet your accessibility needs.

Data Scientist

Levvel

Our Levvel family is growing! Our engineering capability is looking for a Data Scientist Consultant to join our team. As an engineer at Levvel you must be flexible and willing to work challenging, complex problems in order to generate strong solutions. Excellent communication skills are key, and you must be able to ask penetrating questions to uncover the root causes of challenges being presented. Our engineers are strong consultants, who are just as comfortable talking through solutions with clients as they are at coding. As an engineer at Levvel, you must value collaboration and working cross functionally to make the greatest impact for our clients and fellow team members.  In this role, you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies.  Within three months, you will have ingrained yourself with your project and its goals, while developing strong relationships within and outside of your team. Within one year, you will have worked across various client and internal Levvel teams to build solutions, whether those be for clients or for internal initiatives. As a seasoned engineer at Levvel, you will have engaged internally to foster and develop your skill sets and invested time in honing new ones. At Levvel, being a part of the engineering capability means continuing to help us live our core values and culture, as well as drive growth through quality and consistent work and interactions. At Levvel we value career growth and expansion. You will have various opportunities to grow into the career you desire. We offer mentorship programs and multiple career tracks to help you achieve your personal and professional goals. Required Qualifications Strong working knowledge of machine learning algorithms and metaheuristics including bin packing, linear programming, classifiers, clustering algorithms, and anomaly detection Strong programming skills in Javascript, Java, Python, or similar language Experience working with SQL, Spark, Hive, or equivalent Excellent social, written, and verbal communication skills Confidence working independently and making key decisions on projects Industry experience in warehousing, supply chain, or logistics preferred Strong ability to review existing codebases and refactor for improvement vs starting over Who We Are We are not your typical consultancy that promises high level strategies, only to provide bloated project delivery teams. We are technologists that work with our customers to solve real business and technical problems using the right solution, not the one that happens to be convenient, familiar, or easy. We believe that the world needs technology to improve lives and deal with this century’s biggest challenges. We are passionate about helping our clients be part of that transformation. At Levvel, you'll work alongside other hardworking Consultants on a variety of projects. Our clients range from Fortune 500 companies to the earliest startups. We help companies deliver features into production at a faster pace by using modern techniques and technologies. We are looking for people who want to build incredible technical skills while also being exposed to all aspects of business. Levvel is committed to diversity, equity, and inclusion. We seek to recruit and develop diverse talent at varying levels of experience, from early career to experienced specialists. We engage and retain talent through an inclusive culture that values the perspectives and contributions of all team members. We also provide great benefits, including:   Competitive salary  401k with a company match program 4 weeks vacation 10 Paid Holidays Health, dental, vision

Director Of Data Science And Business Analytics

Yay Lunch

We are Yay Lunch, a new business concept with the mission to provide healthy food for kids away from home, beginning with school lunches. Our mission is simple: deliver delicious, healthy lunches made by local vendors to kids at school in an easy, reliable, cost-effective way for parents. How do we do it? We curate menus with local vendors in each market, families order online, and we deliver fresh lunches daily to kids at school. Easy! Since launching a pilot in the 2017 / 18 school year, we have expanded rapidly.. We have aggressive growth plans backed by experienced venture capital partners, and we are excited about our prospects! We’re a startup which means we are agile, outgoing, quick on our feet, and eternally positive. Our business is exploding into new cities up and down the east coast, which means we’re also pretty excited! To enable this work, we are hiring a passionate problem-solver who will help take our analytics platform to the next level. Do you have great ideas and the enthusiasm to build them? Join our team! Together, we will brainstorm, collaborate, design and deliver solutions that get great kids great food, right when they need it most. About the team: We take our work seriously while recognizing that work is just one part of being a real human. We rise and fall as a team. If you have strong skills, seriously enjoy a variety of work both tactical and strategic and don’t mind getting your hands dirty, can both teach and learn from others, and can own both your successes and your mistakes, this may be a good spot for you. We have a “no stupid questions” policy and encourage egoless collaboration. (If you like a lot of politics and hierarchy and meetings, process for process sake, or building and managing empires of direct reports, this is probably the wrong place.) In this role, we would expect there to be minimal travel, but expect to get your chance to periodically ride along with a driver, visit a food vendor, and help to deliver to a school near you to stay in close contact with how our business works. We firmly believe that talent comes in a great variety of forms from a wide variety of backgrounds, experiences, perspectives, and lifestyles. About the Role: The Director of Data Science and Business Analytics will play an integral part in positioning Yay Lunch for continued success in the future. In this role, you will be responsible for building, owning and evolving the overall analytical reporting team and environments for the Yay Lunch business. You’ll help drive actionable insights for the executive team that provide not only transparency into existing business performance, but that also help to model our possible futures, and you’ll help lead the creation of a robust and scalable analytics platform. The ideal candidate will be able to thrive in ambiguity, own and execute multiple concurrent deliverables (both hands-on as an individual contributor and by mentoring and guiding the team) while working effectively with executive leaders and stakeholders across the company. You’ll ensure all stakeholder reporting needs are met in a repeatable and scalable way, while planning, delivering, and evolving our data management and reporting environment to meet the needs of our rapidly growing business and driving actionable insights that make a real impact on our business. Key objectives: Partner with executive leadership and business stakeholders to develop analytics and standardized reports to support business performance reviews and to answer key business questions with a focus on scalable, actionable insightsOwn the overall design and support of the analytical reporting ecosystem, including collaborating with engineering and functional business leads on data acquisition, data management, technical architecture, data warehousing and report delivery solutions. Evaluate existing tools and maximize their use and/or identify new solutions appropriate for a scrappy, budget-conscious startupHelp create predictive models that influence future business success, Personally drive top level business analytics that deliver transparency into how we are performing against our plans. Develop self-service reporting capabilities for the business stakeholders and mentor local teams in their use, with a target of most operational requests for data being fulfilled via self-service in 2022.Help guide the executive team in establishing, implementing and maintaining data governance practices & policies, and develop reporting to drive alignmentHelp shape future technology work to both deliver data needed for future analysis, and to leverage the right data and algorithms for future automation and A/B testing Manage team priorities, workflows and staffing Minimum Qualifications: 5-10 years of data science, business intelligence, business data governance, and/or analytics experience, with 3 years as a director or senior manager preferred, with some experience in fast-moving start-up environments and some in larger companies. Consulting experience is welcome. Experience creating and leading a data science/business intelligence function. Experience and comfort generating actionable insights from complex datasets, and the creation and management of large scale data modeling. Experience creating predictive models of success based on past business performanceComfortable presenting both high level and detailed concepts to a broad variety of audiences, including executive leadershipStrong experience with SQL, R, Python, and other data languages, cloud warehouses, data transformation and reporting tools (Snowflake, Mode, Looker, Tableau, PowerBI, Github, dbt.)Prior exposure to evaluating and managing vendors for various components of the data ecosystem (consultants, contractors, systems, etc.)Strong project and program management skills.Experience coaching, mentoring, and directing a team of direct reportsA strong sense of personal humility. Flexibility, curiosity, adaptability. Comfort with ambiguity and with creating tools and processes to build a path to success for the department. Readiness for change. Ability to be effective in an organization whose staff all work remotelyBachelor's degree in a relevant field or equivalent experience

Senior Data Scientist For Risk

Axiom Zen

Senior Data Scientist for 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 open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs 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. Apply Now