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Data Science Director | Altoida |
Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida.
Altoida’s culture is united around six core principles:
- Patient-First
- Open Communication
- Collaborative
- Reliable
- Embrace Positive Change
- Think and Build at Scale
We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development.
Responsibilities (Leadership)
Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy
Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation
Responsibilities (Data Science)
Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference
Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results
Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact
Serve as an ambassador for Data Science at Altoida by presenting and publishing articles
Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable
Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs
Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy
Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations
Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale
Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols
Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects
Keep pace with latest developments in the field and mentor associates accordingly
Responsibilities (Operational Excellence)
Accountable for design and timely delivery of the digital / data science strategies
Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards
Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable
Desired Skills and Experiences
10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development
Executive-level communication skills for cross-functional collaboration across teams
Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems
Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation
Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams
Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses
Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements
Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization
Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA
Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages
The position is remote with Greater Boston, MA candidates preferred. Minor travel is expected.
Compensation
Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience.
Location
Altoida’s US headquarters is located in Washington, DC. The position is remote.
Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Senior Data Scientist | Veeva Systems |
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your analysis will shape the product roadmap for a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.
What You'll Do
Adopt the latest technologies and trends in NLP to your platform
Experience with training, fine-tuning, and serving Large Language Models
Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings
Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation
Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production
Requirements
4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques
Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
Familiarity with large-scale data processing and analysis, preferably within the medical domain
Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX)
Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script
Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Background in Medical NLP
Experience in the life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade Development Skills
Leadership skills and a solid network to help in hiring and growing the team
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteUK
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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Staff Data Scientist | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryDataJob DetailsSlack is looking for an experienced data scientist to join our Business Analytics team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is a strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact.The Business Analytics team is focused on helping executives and other key decision makers across the company make better decisions using data. We work closely with Data Engineering and Business Intelligence, other Data Scientists at Slack and our partners in Product, Engineering, and the Slack Distribution teams to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Partner with Slack Distribution teams to understand the drivers of our business and accelerate growth
Synthesize insights into crisp narratives and present to senior leadership
Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models
Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
Work with our Data Engineering and Business Intelligence teams to build core data models that power operational and exploratory data analyses
What you should have
4+ years of professional industry experience doing quantitative analysis
A degree in Economics, Physics, Statistics, Math, or other quantitative field (advanced degrees are a plus)
Proficient in SQL and at least one programming language for data analysis (e.g. Python, R)
Experience with statistical and machine learning methods to build descriptive and predictive models
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/For Colorado-based roles, the base salary hiring range for this position is $156,800 to $215,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
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Sr Staff Data Scientist Ecosystem | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Senior Staff Data Scientist for Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Build a deeper understanding of our Pinterest ecosystem. This person will work with Core and Monetization leaderships and will require a very senior person to effectively cut through the noise and influence across pods and orgs. Sample projects: Tradeoff between organic and ads Relationship between engagement metrics & monetization The value of repin behaviors to purchase decisions Levers to move enterprise metrics Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for
10+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-JT6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$158,950—$327,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
|
Staff Data Scientist Growth | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Staff Data Scientist to join our Growth org. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and up-level our product development teams in the Discovery org while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Deep strategic analysis to Answer growth ecosystem questions such as how to drive long term user engagement and how to balance monthly active user growth and overall user engagement. Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our internal strategy to address shortcomings observed through deep analysis. Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies. How do we segment users and provide more personalized experiences for different segments users? Experimentation: Evolve our experimentation capabilities and tools to evaluate the changes we make to our growth levers. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; collaborative design of new multicell experiment frameworks, counterfactual logging, etc. Creating and tracking success metrics. Identify the right measures of success for product teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements. Leadership: Lead and mentor the scope of work for at least one other individual, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.
What we’re looking for:
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. Proven ability to apply scientific methods to solve real-world problems on web-scale data. Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams. Experience leading key technical projects and substantially influencing the scope and output of others. Leadership. Comfortable to leverage expertise to influence others instead of authority. Resourceful and being a resource to solve Pinterest’s business problems in the face of constraints. Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month). Data skepticism and curiosity. Doesn’t think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets. Strong communication skills. Explains work and thought processes clearly and concisely. Willingness to dive in and do work, even if it’s not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn’t think any work is below them. Interest in repeatable analysis. Seeks to automate where possible, strives for solutions that can be repeated on new datasets. Desire for simplicity. Don’t strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful. Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn’t write elegant solutions to the sorts of algorithm questions often found in coding interviews.
What skills are ideal but not required?
Exposure to one or more of the following areas is beneficial. Ideal candidates would have exposure to 2+ of these areas and deep familiarity in 1 or more areas.
Strongly desired: experience working in Growth function, in particular, experience working on SEO, logged out user experience, user activation and sharing/messaging. Strong Experimentation background. Experience with working on experiments with network effects. Statistical rigor. Experience with causal inference projects. ML modeling, ideally with biased / incomplete training data. Has built models end to end (feature design, feature selection, training data, implementation, iteration) and can intelligently discuss trade-offs / decisions at each step.
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-JT6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$135,150—$278,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Staff Data Scientist Browse Discovery | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Staff Data Scientist for the Discovery org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams in the Discovery org while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest Mentor other Data scientists in the Core PADS organization to uplevel the teams
What we’re looking for:
9+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-JT6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$135,150—$278,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Sr Data Scientist Search | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Sr. Data Scientist for the Search org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for:
5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-JT6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$114,750—$236,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Sr Data Scientist Growth | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for:
4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-JT6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$114,750—$236,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Senior Data Scientist | Proofpoint |
It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.This is a remote, full-time position. About the OrganizationML Labs is an internal machine learning group that consults across Proofpoint's entire product portfolio. Over the past several years, our teams have developed data-driven product features, leveraging a range of model architectures from tree-based models to state-of-the-art Transformers. Each new project surfaces novel puzzles to be solved, while production deployments to our cloud ML Platform expose new MLOps challenges. Recently, our organization began spearheading company-wide initiatives around large language models and their applications to the business by creating resources, putting together project teams, and organizing hackdays.About the TeamThe Protection team has produced features enabled by machine learning since early 2022 for three different Proofpoint products: Digital Risk (3 models in production), Cloud Protection (1 model in production), and Enterprise DLP (2 models slated for production). We are a small but growing team with ample opportunities for ownership and impact, guided by our four values:
Human Beings, Not Human Doings: We bring our whole self into every part of our work. We possess worth and value beyond our code.
Humble But Confident: We are confident in our current abilities while celebrating the strengths of our team and our own areas for growth.
Openly Collaborative: We strive for pristine documentation, transparent chat rooms, and realistic management of tech debt and tribal knowledge.
Impactful Innovators:We seek and scope meaningful work that we approach creatively but efficiently.
We currently have three technical members and are looking to add a Senior or Staff data scientist as described below.What You'll Do:
Mentor junior data scientists across ML Labs through individual project meeting and technical deep dives
Support junior technical members on the Protection Team in modeling decisions within the Digital Risk and Cloud Protection spaces
Build out more ML-enabled features within the Enterprise DLP and Cloud Protection spaces
Participate in shaping and executing the Large Language Model strategy for our organization and for Proofpoint
Coach summer and academic year interns through their project selection and technical decisions
What You’ll Need:
A proven track record for mentoring technical members in a professional setting
A deep understanding of recent computer vision and natural language processing algorithms and architectures
Fluency in the Python machine learning life cycle: designing, developing, deploying and maintaining models in production
Proficiency in Linux commands, version control, unit testing, and containerization
A strong grasp of traditional machine learning algorithms, both unsupervised and supervised
Concrete rhythms for staying current with the rapidly evolving field of machine learning
The ability to communicate concisely with a non-technical audience
The ability to collaborate frictionlessly with a wide range of technical collaborators, both inside and outside the team
The ability to manage several projects simultaneously, including scoping technical tasks and effectively communicating progress toward milestones
A minimum of 5 years of industry experience (graduate work will be excluded)
What Will Help:
Previous professional experience at a SaaS company
Knowledge of infrastructure-as-code tools such as CloudFormation or Terraform and public cloud services such as AWS or Azure
A graduate degree in Statistics, Machine Learning, Computer Science, or technical field
Interest in computer, network, or email security
#LI-PHIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable pay and/or equity. We offer a competitive benefits package that includes flexible time off, a robust well-being program that provides for 4 global wellbeing days per year, and a 3-week work from anywhere option.Base Pay Ranges:SF Bay Area, New York City Metro Area:Base Pay Range: 157,650.00 - 231,220.00 USDCalifornia (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:Base Pay Range: 129,000.00 - 189,200.00 USDAll other cities and states excluding those listed above:Base Pay Range: 117,600.00 - 172,480.00 USD
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Lead Data Scientist | Comcast |
Job Summary
The Data Science team builds the end-to-end systems and tools that democratizes machine learning to meet the needs of business by partnering with key internal and external stakeholders to enable data scientists to build and deploy machine learning solutions at scale.
Role Description:
Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision making process. Provides input into strategy, analysis methods, and tool selection. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously. The team is composed of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Comcast data science based services and deployments.
Job Description
Core Responsibilities
With minimal supervision, interpret problems and handle short term tasks using existing procedures and framework. Provide solutions to business problems by leveraging data analysis, data mining, optimization tools, machine learning techniques and statistical methods such as clustering, regression and classification.Work with large, noisy, and complex datasets to produce meaningful analysis of historical patterns of customer behaviors and product performanceApply scientific techniques to data evaluation, performing statistical inference and data miningUses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).Build customer centric models and optimization tools to support large scale projects that utilize online & offline data, structured & unstructured data, set top box data and media/behavioral/attitudinal data.Researching and implementing algorithms and data-structures for our platformWork closely with data warehouse architects and software developers to generate seamless data science solutions for deployment.Document and present the data analysis and its conclusions for assessment by full-performance analysts, developers, and their managers.Interacts with product and service teams to identify questions and issues for data analysis and experiments.Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Consistent exercise of independent judgment and discretion in matters of significance.
Competences:
Experience articulating complex business questions for non-technical audience and using mathematical techniques to arrive at an answer using available data.Experience translating analysis results into business recommendationsProven skills in selecting the right statistical tools given a data analysis problem.Deep Learning and ML methodologies competenceAbility to lead data science teams and choreograph deliveryAbility to communicate complex concepts in easy-to-understand terminologyTeam player with a 'can-do' attitudeLean-forward bias to find opportunities and drive resultsAbility to work effectively across functions, disciplines, and levels
Employees at all levels are expected to:
Win as a team - make big things happen by working together and being open to new ideas.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.Understand our Operating Principles; make them the guidelines for how you do your job.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Drive results and growth.
Preferred Education Level:
- Master's degree in Computer Science, Engineering, Operations Research or other quantitative field.
Experience:
- Requires 7-10 years relevant experience.
Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer.
#EBICareers
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
7-10 Years
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
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Data Scientist | Comcast |
Job Summary
Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously.
Job Description
Core Responsibilities
Interacts with product and service teams to identify questions and issues for data analysis and experiments.Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.Develops and deploys predictive models based on historical data that provide future predictions about customer behavior.Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.Creates deliverables and presentations that report methodology and results of analysis.Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.Other duties and responsibilities as assigned.
Preferred Qualifications
Experience with tree based modelsTime series analysis experiencePandas and Spark exprienceMaster's degreeComfortable with data manipulation
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.
Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Salary:
National Pay Range: $76,252.37 USD-$178,716.49 USD
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
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Cybersecurity Data Scientist Manager | Comcast |
Job Summary
ABOUT CTS CYBERSECURITY
You will be an innovator in the Cybersecurity division of Comcast Technology Solutions (CTS). (https://www.comcasttechnologysolutions.com/about-us) This division specializes in offering Software-as-a-Service (SaaS) and subscription-based security solutions to large enterprises and the federal government. For the first time ever, customers are now able to purchase some of the best of Comcast’s own in-house security technologies (https://www.comcasttechnologysolutions.com/cybersecurity-suite). These solutions are proven-at-scale to defend critical infrastructure and effectively reduce cost. The Cybersecurity Suite efficiently improves security and compliance while keeping costs in check.
Job Description Summary
Responsible for leading a team which extract knowledge and insights from high volume, high dimensional data in order to allow customers to investigate sophisticated business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of sophisticated statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition. Responsible for leading a team which craft, develop and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for customers. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. Leads a team including US and India-based members. Provides subject matter mentorship to employees as the need arises. Helps to develop processes and procedures to drive department efficiencies. Assists in development and meeting of departmental budget.
In the role of Cyber Data Scientist Manager, you will be an important contributor within Comcast Technology Solution’s exciting new cyber security business unit, which sells SaaS and subscription security solutions to the large enterprise and federal government. Working with the Vice President of Engineering Cyber, you will be primarily responsible for developing analytics and data exploitation solutions for DataBee, a new SaaS security, risk and compliance platform that was developed internally and used inside Comcast’s SOC, and is now being made available for use by the Fortune 500 CISO customer base. You will work in a high pace, collaborative engineering environment to deliver value for DataBee customers. In addition to leading and mentoring a team of software engineers, you will also be a senior individual contributor. You will be influential in crafting a startup culture for the DataBee business unit, enabling and empowering your teammates to work in an agile fashion.
Job Description
Core Responsibilities
Interacts with product and field engineering teams to identify questions and issues for data analysis and experiments.Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Uses analytical rigor and statistical methods to analyze large amounts of data, extracting practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statisticsLeads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.Understand platform usage and assist with production deployments and customer issue triage.Develop security features as part of the development and adopt the DevSecOps culture.Use and improve on tools to identify and mitigate production incidents.Build re-usable software components or libraries that can be used by multiple teams, where needed.Build self-contained microservices or application programming interfaces to support the business logic.Use content management systems as applicable and global design patterns and defined coding standards and practices established by the team.Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as vital.Other duties and responsibilities as assigned.
Additional Required Skills and Experience:
Expertise in Python.Proven expertise developing analytics in Databricks and/or Spark.Experience developing and implementing microservices containing sophisticated analytical logic.Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance and/or threat hunting.Experience in parsing and cleansing data. Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization.Experience working in Agile Scrum development environments.Experience working with GitHub and Jira or similar technologies.Experience using Python unit test frameworks.Experience using Docker.Experience developing on a SaaS product.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be hard-working learners, users and advocates of our groundbreaking technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new insights.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Get results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.
Disclaimer:
This information has been crafted to indicate the general nature and level of work performed by employees in this role. It is not crafted to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an EOE/Veterans/Disabled/LGBT employer.
#workforComcast_CTS
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Salary:
National Pay Range: $96,525.18 USD-$226,230.89 USD
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
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Senior Data Scientist | Uplift |
Uplift’s mission is to help people get more out of life, one thoughtful purchase at a time. Our enterprise Buy Now, Pay Later solution is used by the world’s most loved brands including Southwest Airlines, Carnival Cruise Line, Universal Studios, and more. With flexible pay over time installments, we empower consumers to buy what matters most while unlocking higher conversions and customer lifetime value for our partners.
Our team is rapidly growing and comes from diverse backgrounds of leading technology and financial brands. Our HQ is in Sunnyvale, California with offices in Toronto, Ontario, New York, Reno, Nevada, and Guadalajara, Mexico.
Working at Uplift allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
As a Data Scientist, you will be responsible for finding solutions to complex challenges that shape Uplift's future. We currently have one open data science role focused on building credit and fraud models to improve Uplift's risk decision-making. You will be involved in the entire model-building process, from feature engineering to model production and performance monitoring. Through time you will also get exposed to challenges related to payment processes and loan sale allocation strategies.
What you will do and achieve
Create actionable machine learning or statistics-based solutions for complex problems, with an initial focus on the mentioned topics above
Represent data science in the development and implementation of problem solutions
Collaborate with product and engineering teams to ensure the creation of impactful and actionable data science solutions
Develop different approaches that balance ease of implementation with accuracy
Who you are
Master’s or PhD in Computer Science, Physics, Mathematics, Finance, or other quantitative fields
Minimum two years of experience building machine learning models
Proficient with Pyspark
Familiar with A/B testing, and preferably have several years of experience in it
Set yourself apart with
Experience using Databricks and its capabilities
Experience working with another BNPL company is a plus
Life at Uplift
Health Insurance and 401k plan: some plans cover 99-100% premiums for medical, dental, and vision insurance and a 401k plan
Work/Life Harmony: Flexible, remote-first work culture. Uplift fosters a culture where employees can achieve both their professional and personal goals. This balance is especially true for our working parents
Shared Success: competitive salary and Pre-IPO stock options
Health and Wellness Perks: Uplift is proud to reimburse our employees for exercise, wellness products and activities as well as free counseling and coaching for physical, mental and emotional support
Professional Development: We are committed to the growth and development of all of our employees. Uplift invests in professional conferences, certifications, and training for employees who want to grow in their careers
Pick-A-Perk: money that can go towards something of your choosing within tuition reimbursement, student loan payment reimbursement, vacation savings account, charitable donations, or home office expenses
At Uplift, in accordance with the U.S pay transparency laws across various states, we provide the minimum and maximum pay range for each of our levels. This reflects the minimum and maximum ranges for new hire salaries. There are two ranges that reflect positions across all US locations. The first range includes: New York and California whereas the second range includes all other US states. Within each range, there are several different factors that are considered when determining compensation including but not limited to the candidate's location, title, years of experience, job related skills and relevant education. In addition to the base salary, we offer competitive benefits including medical, dental and vision and pre-ipo stock options.
$130k to $165k
$121k to $152k
#LI-Remote
#LI-BC
We want you!
If you made it this far, chances are you’re as excited about working to change how people experience BNPL as we are — and we love that. Please apply even if you’re unsure about whether you meet every single requirement in this posting. Uplift is looking for smart, intellectually curious people who are invested in our mission, not just those who can “check all the boxes”.
Uplift is proud to be an equal opportunity workplace. 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.
Note: Uplift does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Uplift is not responsible for any fees related to unsolicited resumes.
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Senior Data Scientist I Nlp | Evisort |
Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company’s superhero.
We create cutting-edge AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and manage risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions.
By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth.
The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a senior data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.
What You’ll Do:
Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform.
Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment.
Stay up to date with emerging technologies in GenAI/LLM field and recommend improvements to existing models/ designs
Own design, implementation, and deployment of your models and see them deliver business impact.
Mentor other team members and continuously further the Data Science organization.
Guide design, architecture, tooling, and processes at the organization level.
Skills/Qualifications:
3+ years of ML experience in the industry, startup experience is a plus
3+ years working with deep learning in NLP, additional experience with Computer Vision is a plus
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch)
Experience using distributed processing architecture and ML/ Data platforms (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); building experience is a plus
Ability and motivation to stay up to date with the very fast-moving NLP space
Able to communicate results clearly to non-technical audiences with a focus on driving impact
A strong team player but still a self-starter who thrives in a fast-paced, high-growth startup environment
Someone who flourishes when given responsibility and a sense of ownership
BA/BS degree or higher from an accredited university
Evisort is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
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Principal Data Scientist | Myfitnesspal |
At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe good health starts with what you eat. We provide the tools and resources to reach your fitness goals.
Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Science team, you’ll have the opportunity to positively impact those users by creating the predictive models and AI that drives the MyFitnessPal ecosystem. In addition to technical expertise and passion, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.
Essential Duties:The Principal Data Scientist is responsible for leading the technical implementation of bleeding edge AI products. You will be responsible for technical design, delivery and maintenance of a new machine learning platform that will support multiple business purposes and application features. To thrive in this role, you will execute well in an agile environment where we’ll depend on you to make pragmatic decisions, establish and use tight feedback loops, and take calculated risks based on your knowledge from collaborating with your peers. You’ve led technical design and mentored data scientists before, and are comfortable delivering and receiving feedback with trust and candor. You know that MyFitnessPal’s success is dependent on the success of the entire data science team, and you’re committed to coach and mentor a team of experienced engineers and data scientists.
This is an individual contributor role with strong mentorship expectations and the potential for people management based on the candidate.
About our team:MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies, services and/or languages we work with: MySQL, Snowflake, Databricks, Elasticsearch, Python, SQL, Kubernetes, Docker, Scale.ai, AWS Ground Truth, Doccano.
What you’ll be doing:
Be a hands-on leader of data scientists and ML engineers responsible for the technical design, build and maintenance of ML models that drive a personalized experience throughout the MyFitnessPal user journey
Promote the professional growth and happiness of teammates through mentorship, coaching, and encouraging positive, fearless, and trust-based collaboration
Evaluate and improve existing systems to provide more robust solutions that allow others to move quickly and efficiently
Partner with product engineering, data engineering, and data operations to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance
Support resolution of production issues with ML model-driven production features
Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies
Hold others accountable while demonstrating integrity and compassion
Live our core values in all you do:
Be Kind and Care
Live Good Health
Be Data-Inspired
Champion Change
Leave it Better than You Found It
Make It Happen
Qualifications to be successful in this role:
10+ years of machine learning experience in a production setting, with extensive experience in NLP, personalization/ranking, and/or deep learning
Deep knowledge of AI architectures, ML algorithms, and generative AI and LLMs
Demonstrated AI/ML product development from inception to deployment and maintenance
Experience working and innovating on a centralized Machine Learning platform supporting multiple production features / models
A high degree of technical understanding to be able to closely collaborate with engineers and ML practitioners and being additive in strategic discussions about MFP’s future product offering
Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact
Strategic thinking and ability to incorporate larger business context into algorithm and product development
Help other teammates grow through mentorship and coaching
Can quickly assess complex problems and facilitate group discussions to identify solutions and generate appropriate milestones and tasks
Have a solid understanding of what it takes to build production ML-models used in consumer applications
Strong proficiency in programming languages such as Python, R, and SQL
Have a Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (or otherwise equivalent and extensive real-world experience)
Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.
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Senior Data Scientist | Pie Insurance |
As an AI/ML Senior Data Scientist, you will work with Pie’s data science, data/ML engineering, and product teams to conceptualize, build and enhance data-driven AI/ML solutions to address business challenges–having the opportunity to immediately impact various business functions through your efforts. As Senior Data Scientist, you will also get to explore the frontiers of deep-learning, Natural Language Processing/Generative AI, along with supervised/ unsupervised/semi-supervised ML algorithms to build more elegant ML solutions, engineer novel features, and construct automated capabilities. Ultimately, you will help ensure that using AI/ML is key to how we operate, and as easy as Pie.
How You’ll Do It
Working collaboratively with our Product, Data Engineering and MLOps teams, you will be actively involved in the entire Model Development Life Cycle from conceptualization to deployment. You will help conceptualize, design, generate and test hypotheses, construct features, build and validate models–leveraging your deep-learning and NLP skills to develop language-based features, build semantic indexing, construct domain-specific corpus, fine-tune pre-trained models, and build foundation and/or generative ML solutions.
The Ideal Candidate Will Be Able to -
Understand analytics & modeling needs; build validated data pipelines to extract internal and external data, conduct exploratory analysis
Build new high-signal features; build, strengthen, and validate robust AI/ML solutions
Develop and implement feature engineering strategies to extract meaningful features from raw structured data and text-based data to optimize model performance
Conceptualize, prototype, and implement Generative and Augmented AI solutions, leveraging LLM, Image processing, and deep-learning capabilities
Work with both data engineering and analytics teams to find useful data sources; ensure data quality and consistency
The Right Stuff
Bachelor's Degree required, Master’s Degree preferred
5+ years experience as a data scientist
Building and delivering data solutions for a company that uses data as a primary aspect of its business
3+ years experience in building NLP-based solutions
Technologies:
Hands-on experience with Deep Learning frameworks such as PyTorch
Cloud data warehouse experience
Experience writing reusable, OO ML functions in Python
Strong experience in writing complex SQL programming/queries
Exposure to one major SQL RDBMS or analytics database (Snowflake, Redshift, MySQL, Postgres, Oracle, SQL Server, etc.)
Deep experience in data wrangling:
Data extraction, transformation, and cleansing
Text pre-processing
Data profiling and visualization
Analytical prep-work for predictive modeling
Automated data validation
Managing and maintaining metadata and corresponding data dictionaries
Communication & collaboration in an agile environment:
Experience collaborating with data engineers, analytics, software engineers, product managers in delivering ML models and data products
Ability to work in a fast-paced, agile environment and handle multiple projects simultaneously
Strong problem-solving and analytical skills
Proven experience identifying opportunities to automate data wrangling and analytics tasks and workflow
Experience with end-to-end product development using machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and deep learning
Additional preferred skills:
Industry experience within insurance or financial industries
Experience with Langchain, semantic indexing, vector database(s), implementation of open-source language models
Experience with design and development of Knowledge Graph
Experience with data processing frameworks and tools such as Spark/databricks, Snowflake
Familiarity with data visualization tools such as Tableau, Power BI, Dash, or matplotlib
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Data Scientist | Ascend Analytics |
 
Data Scientist, Boulder, CO or Remote within U.S. 
 
Your Impact at Ascend Analytics 
As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of classical and deep learning ML approaches and ability to implement them in Python. Familiarity with electrical energy systems and markets is preferred.‚ÄĮ‚ÄĮ¬†
Ascend Analytics is an innovative ‚Äúclimate tech‚ÄĚ software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com.¬†
Job Responsibilities 
Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms  
Experiment with different data science modeling approaches (e.g. deep learning, regression, boosting, trees, etc.) in Python and research state-of-the-art modeling techniques that could apply to energy forecasting problems  
Develop new model features in coordination with SMEs  
Optimize and enhance computational efficiency of algorithms and software design  
Develop both prototype models and production software‚ÄĮ¬†¬†
Supporting existing commercial software and production systems‚ÄĮ¬†¬†
This position also involves algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, and planning and control of electric battery storage.‚ÄĮ¬†
Required Qualifications 
Bachelors Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline 
1+ years of industry or academic experience in the field‚ÄĮ¬†
Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)‚ÄĮ¬†¬†
Time series modeling and advanced statistics‚ÄĮ¬†¬†
Ability to communicate with impact and confidence, both verbally and in writing‚ÄĮ¬†¬†
Strong interpersonal skills, teamwork skills, and work ethic‚ÄĮ¬†¬†
Interest in learning about and deploying novel software solutions‚ÄĮ¬†¬†
Prior knowledge of, or strong interest in learning about wholesale electricity markets‚ÄĮ¬†
Compensation: $80,000 - $130,000                   
Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. 
We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  
We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   
Ascend Analytics is 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, please contact us at [email protected] 
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Forecast Analyst Retail Call Center Workforce Management | Cvs Health |
Job DescriptionThis position is responsible for maintaining the entire forecast process, (contact volume, average handle times and shrink), within our multi-channel (inbound, outbound, digital, etc.) Retail Customer Care organization. This person will be charged with fine tuning and maintaining advanced projection models that drive positive customer and colleague experience while maintaining financial obligations. These models will include machine learning development and advanced statistical analysis. This position will work closely with business leaders to gain insight into day-to-day operations of the organization and project impact of future initiatives. As such, partnership with all areas of the business and quantifying impact will be a critical requirement of this role. Candidates should be experienced in analytical and critical-thinking skills, machine learning methodologies, leadership communication, contact workforce management experience, and have a proven track record of collaboration within cross-functional organizations.• Serves as the forecasting and projection subject matter expert with Business Unit Leadership. Assesses and quantifies risks and costs that would impact the Business Unit and drive Revenue capture• Utilizes advanced programming languages (SQL, Python, R) to manipulate machine learning, forecast, and projection models that operationalize, optimize, and drive business performance. • Drives performance improvement through constant communication with other areas of WFM, as well as Operations, regarding all drivers (quantifiable or not) that impacted any variances to forecasted volume, AHT or Shrink.• Partner with contact center Vendors related to monthly lock process that facilitates partnership and collaboration between our internal and vendor objectives.
Pay RangeThe typical pay range for this role is:Minimum: 40,560Maximum: 83,400
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit
jobs.CVSHealth.com/benefits
Required Qualifications• 2+ years of experience in forecast and predictive modelling within a multi-channel organization • 2+ years of experience steering business unit level analysis and dissemination of information to all levels of leadership.• 2+ years of experience demonstrating high proficiency with standard corporate software applications, including MS Word, Excel, Outlook, and PowerPoint, as well as some special proprietary applications.
Preferred Qualifications• 2+ years of Workforce Management experience• College Degree in related field preferred (Quantitative Analysis, Mathematics, Data Science)• A.I./Machine Learning validation, testing and parameter tuning• Experience in data analysis with the ability to write scalable, production-level code with SQL + Python or R in a cloud database environment (e.g. Snowflake, Teradata)• Data visualization development experience (Ex: Tableau or Power BI)• Demonstrated experience with Correlation Analysis• Demonstrated advanced Excel report development (e.g., Advanced Formulas, Power Pivot, Charts and Graphs, VBA & Macros, etc.)
EducationVerifiable High School diploma or GED
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Lead Data Scientist Retail Payer Analytics | Cvs Health |
Job DescriptionThe Analytics and Behavior Change team serves as a critical partner to the retail pharmacy payer analytics team, helping them to achieve core business goals related to reimbursement, pricing and margin driving initiatives. The team builds advanced analytic solutions (using Machine Learning and other statistical techniques) to identify opportunities, collaborate across other stakeholders in the organization to implement the strategy, and measure impact. Additionally, the team builds tools and capabilities to enable business units to design, run, and measure their own interventions.As a Lead Data Scientist, your role will entail:• Seeing projects through from inception to production.• Working with a wide range of problem domains, including time-series forecasting, classification, regression, clustering to name a few.• Coordinating regularly with technical teams (Analytics, Data Engineering, IT) as well as non-technical business stakeholders and senior leadership.• Collaborating closely with business partners to identify new use cases, perform root-cause analyses, support decision-making, and gain insights from data.• Accountability, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing high-performing analytics solutions• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership• Mentoring junior team members to provide technical guidance
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit
jobs.CVSHealth.com/benefits
Required Qualifications• 6+ years of experience programming in SQL and Python• 3-5 years experience building machine learning and/or optimization models• Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science• Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models• Ability to communicate technical concepts and implications effectively to non-technical business partners• Experience working with data visualization platforms (e.g., Tableau)• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.• Capability to anticipate and prevent project roadblocks before they occur
Preferred Qualifications• Experience with Palantir Foundry and Tableau• Strong understanding of health care industry, products, and systems • Experience with Spark/PySpark• Experience with cloud distributed-computing platforms (e.g., AWS, Azure Databricks, etc.), including querying/mining large datasets and deploying projects on cloud systems.• Knowledge of Git for version control.• Familiarity with working in an Agile framework.
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Research Scientist Responsible Ai | Cohere |
Who are we?
We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.
We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
Why this role?
Cohere For AI is the dedicated research arm of Cohere, and our mission is to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.
Cohere For AI intends to execute this mission through two different efforts 1) create spaces where engineers, researchers and multidisciplinary experts can connect and contribute to NLP and machine learning research, 2) provide research training that brings in new talent from across the world to the field of machine learning.
As a research scientist, you have an independent high-impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work evidences a consideration for the societal and ethical implications of machine learning.
You are interested in working on rigorously evaluating model risk at scale, efficient red teaming/alignment with human feedback, studying viable threat models in LLMs at scale, traceability guarantees, data governance and provenance, bias, and fairness.
You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.
You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.
Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
As a Research Scientist, you will have:
Ph.D or equivalent research experience
Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
Have a demonstrated research interest and track record in one of the following domain areas: privacy, fairness, robustness, security, auditing tools, AI Safety, AI policy.
Strong machine learning and NLP fundamentals, with a demonstrated ability to design and execute on a research agenda.
You may be a good fit if you:
Enjoy collaborating widely
Have a track record of mentorship and are excited to democratize access to machine learning
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Principal Data Scientist Operations Research | Veho |
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
As a Principal Data Scientist (Operations Research), you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology. You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.
You will
Develop and implement models and algorithms to solve complex problems using operations research, statistics, and machine learning technologies
Partner with functional areas (last mile, middle mile, ground operations, network planning) to develop to optimize our network across the board
Deep dive into current operations research solutions to develop insights, and provide recommendationsImplement operations research improvement initiatives that impact metrics and streamline network operations
Communicate with technical and business-oriented audiences
What you bring
Master or PhD in operations research plus experience developing and deploying optimization, predictive and machine learning models
Strong knowledge in operations research concepts such as linear (LP), nonlinear (NLP) and mixed-integer programing (MIP), network optimization and simulation
Experience with network optimization tools like OR-Tools, CPLEX, Gurobi, Xpress, COIN-ORPractical experience in developing large scale vehicle routing, network design, and warehouse solutions
Software development experience deploying OR solutions into productionExperience using statistical modeling or machine learning techniques to solve business problemsExpert SQL and Python skills
Familiarity with the gig economy space (preferred)
$210,000 - $240,000 a year
The base salary range for this position is $210,000-$240,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Machine Learning Scientist Generative Ai | Tempus |
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We are seeking a highly skilled and innovative Generative AI Scientist to join our research and development team. As a Generative AI Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms specifically tailored for healthcare applications. Your work will contribute to improving patient care, optimizing clinical workflows, and advancing medical research. This position offers an exciting opportunity to leverage the power of generative AI to revolutionize healthcare and make a significant impact on people's lives.
What you'll do:
Build LLM-based and generative AI agents that solve impactful business challenges at Tempus across all our business units - touching on clinical notes, electronic health records, medical imaging, sequencing data, etc.
Healthcare-focused Research and Development: Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Stay up to date with the latest advancements in the field and adapt them to address healthcare-specific challenges, such as medical image generation, drug discovery, patient data analysis, or personalized medicine.
Model Design and Development: Design and implement generative AI models tailored for healthcare scenarios. Develop models that can generate realistic and high-quality medical images, synthetic patient data, or generate text-based medical reports
Experimentation and Evaluation: Design and execute experiments to evaluate the performance and effectiveness of generative AI models in healthcare settings. Develop appropriate evaluation metrics that align with healthcare outcomes and clinical requirements. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Collaborative Teamwork: Collaborate closely with cross-functional teams, including healthcare professionals, data scientists, software engineers, and product managers. Leverage their expertise to guide your research, gain insights into real-world healthcare challenges, and translate your findings into practical solutions.
Prototyping and Implementation: Develop prototypes and proof-of-concept implementations of generative AI solutions for healthcare. Work closely with engineering teams to integrate your models into healthcare platforms, systems, or applications. Ensure scalability, efficiency, and robustness of the deployed solutions.
Regulatory Compliance and Ethical Considerations: Stay up to date with healthcare regulations, privacy laws, and ethical considerations relevant to the development and deployment of AI in healthcare. Ensure compliance with HIPAA, GDPR, and other applicable standards throughout the development process.
Continuous Learning and Industry Engagement: Stay actively involved in the healthcare and AI research communities. Attend relevant conferences, workshops, and seminars. Publish research findings in reputable scientific venues. Collaborate with academic and industry partners to advance the state-of-the-art in generative AI for healthcare.
Qualifications:
Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred.
Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures.
Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus.
Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, and model
Bias-to-action, appetite for high-risk high-gain projects with a pragmatic approach to rapid and measurable progress
Strong track record in publications, patents, and/or launched products in this space
Nice-to-haves:
Experience working with sensitive healthcare data, medical imaging modalities, clinical workflows, and healthcare terminology. Familiarity with electronic health records (EHRs) and medical imaging formats (e.g., DICOM) is advantageous.
Experience in late-stage startup environment
Experience building and bringing practical use, knowledge graphs and graph-based machine learning models
Expertise with embedding, multimodal fusion
#LI-EV1
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Data Scientist Product | Underdog Sports |
What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are looking for intellectually curious, innovative and driven individuals to be the part of our Data Science - Product Analytics team. As a Data Scientist at Underdog, you’ll be guiding the next-gen AI powered gaming platform that will lead the sports gaming industry. You will be part of a team whose focus is to solve cutting edge data science problems in product.
The ideal candidate will have a strong product sense and background in analytics and statistics. In this role, you will have a chance to shape strategy for critical product areas through data and will guide product development with relevant insights based on analysis. You will be the subject matter expert on metrics and success measurement, experiment design, and visual storytelling via data. You are focused on impact, and have the skills to understand customers and promote growth.
You should demonstrate curiosity, data fluency, and a collaborative work ethic.
Your role will be to take ownership of generating insights and recommendations to shape our product roadmap and go-to-market strategy. You will partner closely with Product, Engineering, Design, Marketing, UX Research, and Operations to define, prioritize and execute initiatives that drive business growth.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey.
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:
Create edge-of-the-seat product and customer insights that enable Product Directors/Managers to define strategy and prioritize roadmaps
Influence decision makers in cross-functional teams by (re)defining key metrics of success, building data-driven narratives on growth opportunities, and sizing outcomes
Partner with Product, Technology, Design, and other teams to ideate, test, and launch product features; own deep-dive analysis of post-launch impact and recommendations to optimize product experience
Maintain a constant pulse on health of the business & product by tracking KPIs against targets and conducting investigations of key trends and their underlying drivers
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Implement analytical solutions to support key product objectives
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders
Who you are:
BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related academic/work experience
3 + years of experience in analytics, product strategy, management consulting, business intelligence, with experience analyzing large datasets and developing statistical solutions
Experience influencing decision makers across cross-functional teams using insights generated through quantitative and qualitative data and analyses
Ability to synthesize data into actionable insights across all levels of stakeholders (business, technical, and executives)
Extensive experience with large-scale datasets using SQL and programming languages such as Python or R
Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas
Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders
Even better if you have…
Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP)
Stay up-to-date with the latest trends and developments in product analytics and data science
Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:
Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!
#LI-REMOTE
|
Data Scientist Marketing | Underdog Sports |
What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our marketing capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of growth marketing.
In this role, you will be responsible for analyzing marketing data to identify trends, patterns,and delivering insights that will inform marketing strategy and drive business decisions. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in marketing.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value. (e.g. marketing attribution, customer acquisition, user churn/retention, maximizing lifetime value of users, experiment design (AB testing), cohort analysis, propensity scoring etc.)
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:
Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions
Develop and implement advanced analytical models, including predictive propensity and marketing attribution models, to drive revenue and assist in informed decision making
Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders
Collaborate with cross-functional teams to identify data needs and develop data-driven solutions
Stay up-to-date with the latest trends and developments in marketing analytics and data science
Develop an understanding of marketing strategy and trends and contribute to data-driven decision making
Who you are:
BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Marketing or related academic/work experience
3+ years of experience in marketing analytics, with experience analyzing large datasets and developing analytical solutions
Experience in marketing data analytics, and/or digital marketing analytics, and/or web analytics
Strong experience with large-scale datasets using SQL and programming languages such as Python or R
Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Redshift, GCP, AWS)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and marketing teams
Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders
Familiarity with data warehousing, data pipelines, and data governance best practices
Even better if you have…
MS, PhD in Statistics or related field
Experience with predictive modeling using machine learning
Experience working with marketing stakeholders
Demonstrated experience leading a marketing analysis project where your recommendations had an impact on the business
Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:
Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!
#LI-REMOTE
|
Data Scientist Finance | Underdog Sports |
What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our financial capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of finance analytics.
In this role, you will be responsible for analyzing and interpreting complex customer activities or financial data to drive business decisions and improve financial performance. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in financial analysis and reporting.
You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand revenue impact from user behavior, address business challenges such as forecasting financial trends, customer segmentation. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value.
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:
Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions
Develop and implement advanced analytical models to drive revenue and assist in informed decision making
Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership
Design and execute experiments/AB tests, analyze/interpret results to impact product performance
Implement analytical solutions to support key finance functions such as budgeting, forecasting, and planning
Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders
Collaborate with cross-functional teams to identify data needs and develop data-driven solutions
Stay up-to-date with the latest trends and developments in analytics, data science and finance
Who you are:
BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Finance or related academic/work experience
3+ years of experience in analytics, with experience analyzing large datasets and developing analytical solutions
Strong experience with large-scale datasets using SQL and programming languages such as Python or R
Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.)
Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP)
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas
Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders
Familiarity with data warehousing, data pipelines, and data governance best practices
Even better if you have…
MS, PhD in Statistics or related field with research in machine learning
Experience in finance data analytics
Experience in financial analysis and reporting
Familiarity with financial statements and accounting principles
Knowledge of financial planning and analysis (FP&A) best practices
Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:
Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!
#LI-REMOTE
|
Data Scientist Optimization | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Senior Data Scientist with Optimization experience (in particular, integer programming, mixed integer programming) and solid knowledge of reinforcement learning, deep learning, and strong coding capabilities. This person will be responsible for writing complex production-level codes. Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science experience with robust Optimization experience (specifically, integer programming, mixed integer programming) and deep Reinforcement Learning knowledge is a must. Strong statistics foundation and knowledge of statistical packages. Highly proficient with Python and SQL and can write complex Python codes and SQL queries. A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. A simulation experience is plus. Retail/CPG or Supply Chain experience is a must. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Senior Director Data Science R | Dun Bradstreet |
Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!
The Senior Director, Data Science will work with decision-makers across the company or external clients to understand their business goals, identify opportunities to use data and analytics to develop new insights, and to improve business results
The Senior Director, Data Science will establish and maintain strong relationships with key business stakeholders
The Senior Director, Data Science will take the analytical lead in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
This role will serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions
The Senior Director, Data Science will validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary
This role will partner with internal D&B team to develop new business solutions in risk analytics
Requirements:
Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 8+ years of applicable experience
Experience leading data scientists’ team
Ability to effectively communicate complex ideas to both a technical and non-technical audience
Strong client collaboration skills, including the ability to build and maintain relationships with clients
Ability to design and develop analytics products end to end
Deep knowledge and experiences in Machine Learning and AI and its application.
Hands on experience of building analytics solutions and the ability to conduct research utilizing Python, PySpark and SQL
Strong model development experiences for financial industry
Creative and inquisitive in nature, flexibility to learn and apply new methodologies
Preferred Qualifications
Experience of development for Fraud prevention solutions
Strong business acumen, especially in Financial Services Industry Experience or Supply Chain applications
Consulting Experience working with outside clients on statistical engagements
Strong technical writing skills
Passionate on stay abreast of cutting-edge ML and NLP methods, with good grasp of state-of-the-art NLP algorithms
$150,700 - $255,200 a year
**This role is eligible for Bonus**
Benefits We Offer
· Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members.
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.
· Competitive 401k & Employee Stock Purchase Plan with company matching.
· Health & wellness benefits, including discounted Gympass membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.
· Learn more about our benefits: http://bit.ly/41Yyc3d.
Pay Transparency
Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting. Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.
Global Recruitment Privacy Notice
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Data Science Director | Altoida |
Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida.
Altoida’s culture is united around six core principles:
- Patient-First
- Open Communication
- Collaborative
- Reliable
- Embrace Positive Change
- Think and Build at Scale
We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development.
Responsibilities (Leadership)
Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy
Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation
Responsibilities (Data Science)
Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference
Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results
Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact
Serve as an ambassador for Data Science at Altoida by presenting and publishing articles
Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable
Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs
Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy
Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations
Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale
Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols
Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects
Keep pace with latest developments in the field and mentor associates accordingly
Responsibilities (Operational Excellence)
Accountable for design and timely delivery of the digital / data science strategies
Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards
Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable
Desired Skills and Experiences
10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development
Executive-level communication skills for cross-functional collaboration across teams
Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems
Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation
Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams
Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses
Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements
Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization
Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA
Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages
The position is remote with East Coast / Boston, MA candidates preferred. Minor travel is expected.
Compensation
Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience.
Location
Altoida’s US headquarters is located in Washington, DC. The position is remote.
Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Data Scientist Senior Geo | Veho |
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology. You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.
You will:
Understanding business context and gathering requirements
Build and iterate on models to meet requirements using Python
Create data pipelines to feed analysis and productionized models
Integrate models into production systems using MLOps best practices
Analyze impact and effectiveness of models in production systems
What you bring:
Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science or data engineering
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with cloud-based data engineering and data science tools
Experience working with large-scale geo track and trace data sets (preferred)
Familiarity with the gig economy space (preferred)
Experience managing and deploying real-time models in production (preferred)
$150,000 - $170,000 a year
The base salary range for this position is $150,000-$170,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Data Scientist Senior Experimentation | Veho |
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
As a Senior Data Scientist (Experimentation), you’ll be directly embedded in data science, operations, product, and engineering teams to quantify the effectiveness of process changes across Veho. You’ll partner with product managers to understand high-value business problems, build systems that inform experimental design, and work with cutting-edge technology.
Responsibilities Include:
You’ll serve as the key contact for defining and designing test strategies across numerous business decision verticals
Educate users on the role testing and insights can play to accelerate insights and reduce the risk
Build reliable and efficient, experimentation tools to speed up design and analysis
Create robust data pipelines to feed downstream analyses
Ensuring data quality and data integrity through best practices in data integration
Analyze and evaluate the impact of changes production systems
What You Bring:
Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
Familiarity with statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
Proficient in A/B, multivariate testing in a multi-channel setting
Experience dealing with network effects via switchbacks or synthetic controls
At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
$150,000 - $165,000 a year
The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Data Scientist Senior Customer Client | Veho |
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our client and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.
Responsibilities Include:
Understanding business context and gathering requirements
Proactively identify the most impactful opportunities to shape product roadmaps whithin the consumer and client space
Building reliable, efficient, and scalable models for our AI/ML capabilities
Creating robust data and automation pipelines to effectively generate insights and trends
Ensuring data quality and data integrity through best practices in data integration
Analyze and evaluate the impact and effectiveness of models in production systems
Help design consumer or client experiments to quantify the value of unique Veho services
What You Bring:
Bachelor’s Degree plus 3 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
Experience building consumer or client facing sales tools that leverage analytics/machine learning
Experience designing and running experiments
At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 2 years of experience working with cloud-based data engineering and data science tools.
$150,000 - $165,000 a year
The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Data Scientist Product Analyst Marketplace | Veho |
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology.
Responsibilities Include:
Understanding business context and gathering requirements
Build reliable, efficient, resources to monitor our AI/ML capabilities
Present and educate to stakeholders and leadership models impacts, changes and analytical insights
Create robust data pipelines to feed analyses
Ensure data quality and data integrity through best practices in data integration
Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments
What You Bring:
Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL, Python and dashboarding skills
Experience building ETA models or levering geo track and trace data to generate insights
Experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
Experience with analytical relational databases like Redshift, BigQuery, or Snowflake
Experience with vehicle routing problems or logistics is nice to have but not required
$110,000 - $125,000 a year
The base salary range for this position is $110,000-$125,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO.
Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.
Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or any other protected class.
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
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Data Scientist Services | Streetlight Data |
StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.
As a Data Scientist on our Services team, your role will be vital in shaping our services offerings. You will directly influence the success of our customers by developing data-driven solutions tailored to their unique needs. Utilizing your data science expertise, you will be tasked not only with the creation of these solutions but also with the proactive identification and validation of potential new services offerings.
In this role, you will harness the power of StreetLight's extensive repository of transportation data, formulating efficient queries to deliver the answers our customers seek. Employing innovative visualization techniques and synthesizing diverse data sets, you willprovide comprehensive insights. As a key contributor to our lean launch program, your data insights will enable the identification, prototyping, and validation of new product concepts.
Location: We are flexible on the location of this position - it could be in any one of our corporate offices, or remote within the US or Canada.
Key Responsibilities
Design and refine algorithms to infer key transportation patterns from various data sources, including both StreetLight's proprietary data and metrics, as well as external data. Apply these insights to explore and validate potential new services offerings.
Research, implement, and optimize suitable strategies for tackling data science problems
Use advanced statistical tools for the analysis and validation of results, ensuring the viability of potential new services and lean launch prototypes.
Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making.
Collaborate closely with Sales, Solutions Engineers, and Account Management to translate customer requests into clearly defined, timely outputs that exceed customer expectations.
As part of a dynamic team at StreetLight, proactively identify opportunities for process improvements and contribute to the evolution of our service offerings.
Qualification & Skills
BS / MS in Computer Science, Mathematics, or an Engineering discipline from a top university.
Proficiency in Python with 5+ years of experience, including familiarity with data-focused libraries such as pandas, NumPy, SciPy, and scikit-learn.
Experience with relational databases and SQL, including a strong understanding of concepts. Familiarity with BigQuery is preferred.
Solid understanding of techniques in data science, including machine learning algorithms, forecasting, regression analysis, etc.
Expertise in data visualization, preferably with experience using ArcGIS for web mapping and interactive dashboard creation.
Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms.
Familiarity with software engineering principles, reflecting an understanding of how robust, scalable systems are built.
Knowledge of geospatial data, statistics, and experience with geospatial databases such as PostGIS is a plus.
Experience with transportation data/industry is a plus. This includes working in a transportation-focused role within government, consulting, private-sector mobility, or a non-profit.
Strong communication skills - written, visual (presentations, charts, maps), and verbal.
The base salary range for this position is $140,000 to $150,000. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations (remote). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Interested? StreetLight Data offers a competitive salary and benefits package.
StreetLight Data is an equal opportunity/affirmative action employer. StreetLight 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.
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Data Scientist International | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Sr. Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Sr. Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications:
M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Matching Plan
Remote Position, fully work from home anywhere in the U.S.
Flexible PTO
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)
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Principal Data Scientist Search And Personalization United States | Getty Images |
Principal Data Scientist, Search and Personalization - United States (Remote)
Duration: Permanent
Location: United States (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!
Your Next Challenge:
Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process
What You'll Need:
Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful
Mental and Physical Demands:
A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment
$122,400 - $204,000 a year
The starting salary range for this position at time of posting is USD 122,400 to USD 204,000 per annum. Getty Images has different ranges in different locations within the US, and this range represents the starting base pay range. Actual compensation will depend on factors including but not limited to: qualifications, geographic location, skills, experience, certification, business needs, performance, and level of responsibility along with the requirements of the position. The company reserves the right to modify this pay range at any point in the future. Getty Images is committed to the health and well-being of its employees and benefits for full-time permanent employees may include participation in the company incentive program, equity, and benefits package which is inclusive of medical, dental, vision, 401(k) match, paid company holidays and time off, and paid parental leave. Visit our career site to learn more about our career opportunities and Diversity & Inclusion commitments.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
__________________________
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.
Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.
Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.
Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experiences
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Data Science Job Descriptions
These data encompass the title, company, and description of the outer-join job board between October 2021 and today.
license: wtfpl task_categories: - text-classification - feature-extraction language: - en tags: - jobs pretty_name: ds-jobs size_categories: - 1K<n<10K
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