Quantitative Intelligence Analyst discovering novel risks in human-AI systems using quantitative models, data mining, and statistical analysis to develop early-warning signals for trust and safety threats. Requires 3+ years in quantitative intelligence, risk research or trust & safety, plus Python/SQL skills.
Help build and improve HappyRobot’s AI agent products by defining metrics, designing and interpreting A/B tests and experiments, analyzing conversations/workflows, and turning data into insights that guide Product and ML roadmaps. Requires 4+ years in data science or product analytics, strong SQL/Python, stats, and experimental design experience.
Data scientist owning analytics and experimentation for new user activation and habit formation in Suno's early-life journey. Requires 5-7+ years in consumer data science/product analytics, advanced SQL/Python/statistical modeling, and deep experimentation experience.
Lead and grow a team of 4-6 data scientists at a healthcare startup. Own predictive analytics, marketplace forecasting, and production ML models (matching, quality scoring) while partnering cross-functionally to drive business impact. Requires 6+ years DS experience including 2+ years managing technical teams, strong Python/ML/SQL skills, and production ML expertise.
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Data scientist partnering with Product, Engineering, and Design to shape mobile consumer creation roadmap at Suno. Design/run experiments, build analyses to identify magic moments driving creative engagement, establish success metrics, and contribute to data foundations. Requires 6-8+ years in consumer tech/mobile, advanced SQL/Python/stats, and end-to-end experimentation experience.
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.
Staff Data Scientist in Pinterest's CFO organization owning end-to-end forecasting tooling (data pipelines to UI), driving AI/LLM adoption for Finance & BizOps teams, delivering analytics, and advising executives on AI strategy. Requires 8+ years experience, strong forecasting, full-stack tool-building, and AI foresight skills.
Lead development of predictive ML models, causal inference frameworks, and AI agents to forecast patient outcomes, measure clinical impact, and drive value-based care performance for Pearl Health's platform.
Lead rigorous research on employee experience, manager effectiveness, and organizational health at Anthropic. Design studies, analyze surveys with psychometrics, build frameworks, and translate findings into people strategy using SQL, Python/R, and advanced methods. Requires advanced degree and 5+ years quantitative research experience.
Senior Staff Data Scientist partnering with executives to provide data-driven strategic recommendations, build analytical solutions for complex problems, and mentor the data science team at Mozilla.
Senior Staff Data Scientist partnering with executives to provide data-driven strategic recommendations. Requires exceptional communication, influence without authority, and deep expertise in Python/R, SQL, statistics and modern data science methods.
Staff Data Scientist partnering with Strategic Finance on Chime's Spending portfolio. Build self-serve analytics infrastructure, semantic layers, AI-assisted workflows, and data pipelines while mentoring analysts and influencing senior leaders with insights on unit economics, experimentation, and forecasting.
Lead and grow a team of Applied Scientists and Data Scientists to define the data science vision, develop ML and experimentation solutions, and influence product strategy and business growth through deep analysis and cross-functional partnerships. Requires 8+ years in data science/ML, 3+ years managing teams, advanced degree, and expertise in causal inference and Python/SQL.
Data Scientist partnering with infrastructure engineering teams at Pinterest to build metrics, measurement systems, and analytical frameworks that improve reliability, performance, cost efficiency and data quality of core technical systems. Requires 4+ years experience with SQL, experimentation, and production data pipelines.
Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.
Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.
Senior Data Scientist defining measurement frameworks and strategic analyses for Chime's AI-powered app experiences and member engagement. Owns metrics as source of truth, partners with executives across Product/Engineering/Marketing, leads deep-dive analyses, mentors team, and drives product impact. Requires 5-7 years experience, SQL, dbt, stats, and executive stakeholder skills.
Senior GTM Data Scientist partnering with Sales, Marketing, and Customer Success teams. Design and deploy predictive ML models (LTV, attribution, propensity), run experiments with causal inference, and translate insights into actionable GTM strategies. Requires 4+ years in applied data science with strong Python/SQL and experimentation skills.
Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior data scientist partnering with Stripe's Security organization to model, quantify, and mitigate security risks using telemetry, logs, and ML. Provide technical leadership, mentorship, and data-driven strategy for detection, access controls, and threat protection.
Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.
Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.
Build industrial data factories and pipelines for next-generation Voice AI foundation models at Deepgram. Requires expertise in data processing stacks, statistical/deep learning methods on complex audio, Python/PyTorch, and scaling data systems for conversational speech models.
Senior Data Scientist partnering with Lending, Product, Engineering, Risk and Finance teams at Chime to own experimentation, A/B testing, causal analysis and metrics across credit and liquidity products. Requires 5-7 years product/business data science experience, expert SQL/Python, stats/ML expertise, and strong stakeholder influence.
Forward Deployed Data Scientist partnering with customers to detect emerging fraud patterns, tune ML models and signals, conduct forensic investigations, and translate field insights into product improvements for Sift's AI-powered fraud platform. Requires 5-8 years in fraud/trust & safety with strong SQL, Python, and ML expertise.
Senior Data Scientist building, improving, and deploying ML models for credit risk, fraud detection, and transaction optimization at a consumer fintech company. Requires 5+ years data science experience, advanced degree, Python/SQL/ML expertise, and end-to-end model ownership from ideation to production A/B testing.
Lead Data Scientist responsible for building, deploying, and owning ML models for credit risk, fraud detection, and payment optimization at a consumer fintech company. Requires 6+ years of data science experience, advanced degree, end-to-end modeling expertise, and strong cross-functional communication skills.
Data Scientist designing and analyzing A/B tests, causal inference experiments, and retention frameworks (cohorts, churn, DAU/WAU/MAU) to drive product growth and user engagement at Arena Intelligence. Requires 3+ years in experimentation, strong stats background, SQL/Python/PySpark skills.
Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.
Build specialized evals and automated pipelines to measure and improve answer quality for Perplexity's LLM-powered search engine, focusing on retrieval, tool calls, and visual rendering. Requires 4+ years in data science/ML, strong Python/SQL, and cloud experience (MS/PhD preferred).
Senior Data Scientist driving performance marketing measurement, experimentation, and LTV modeling to optimize user growth and marketing spend. Requires 5+ years experience, master's degree, strong statistics and Python/SQL skills.
Builds and maintains reproducible multi-omics data pipelines and analysis workflows supporting NCI cancer research. Requires strong Python/R skills and experience with at least two omics data types.
Embedded Data Scientist supporting Acquisition Marketing to measure, optimize, and scale patient acquisition efforts through attribution, experimentation, and performance analytics. Requires 3+ years in marketing analytics and proficiency in SQL/Python/R.
Economist (up to 5 years post-PhD) conducting empirical research on AI’s economic impacts using large datasets, causal inference, and structural modeling. Requires PhD and strong econometrics/SQL/Python skills.
Lead data science projects on ads delivery, LTV, and engagement tradeoffs. Design ML frameworks, drive experimentation, and mentor scientists. Requires 10+ years experience and deep expertise in ML, causal inference, and product analytics.
Lead and grow a data science team building predictive models for credit risk, payments, and consumer financial products. Drive adoption of AI tools and partner with product and engineering on roadmap and impact.
Conduct original quantitative research and build analytics capabilities using private markets data to generate insights, develop indices, and support product and marketing efforts. Requires 6-10 years experience in equities markets, advanced programming skills, and a Master's degree.
Conduct original quantitative research and build analytics capabilities using private markets data to generate insights and indices for clients and internal teams. Requires 6-10 years experience in equities markets, advanced programming skills, and a Master's degree.
Senior Data Scientist embedded in a product pod to design experiments, run causal analyses, and build predictive models that improve mental healthcare outcomes. Requires 6+ years driving product decisions with strong SQL/Python or R skills.
Data Scientist focused on policy work, transforming internal usage and survey data into evidence for policymakers. Requires Python, SQL, causal inference expertise, and experience producing external-facing analyses.
Data Scientist embedded in marketing to define metrics, run experiments, and build analytics systems that drive customer acquisition and lifecycle performance.
Data Scientist focused on compute allocation and causal inference to optimize AI infrastructure decisions and connect supply choices to user outcomes. Requires strong Python/SQL skills and experience with constrained optimization and production systems.
Manage and mentor a team of data scientists building fraud detection models and financial risk products. Own end-to-end model development from data acquisition through production, while driving technical direction and cross-functional planning.
Quantitative Intelligence Analyst discovering novel risks in human-AI systems using quantitative models, data mining, and statistical analysis to develop early-warning signals for trust and safety threats. Requires 3+ years in quantitative intelligence, risk research or trust & safety, plus Python/SQL skills.
Help build and improve HappyRobot’s AI agent products by defining metrics, designing and interpreting A/B tests and experiments, analyzing conversations/workflows, and turning data into insights that guide Product and ML roadmaps. Requires 4+ years in data science or product analytics, strong SQL/Python, stats, and experimental design experience.
Data scientist owning analytics and experimentation for new user activation and habit formation in Suno's early-life journey. Requires 5-7+ years in consumer data science/product analytics, advanced SQL/Python/statistical modeling, and deep experimentation experience.
Lead and grow a team of 4-6 data scientists at a healthcare startup. Own predictive analytics, marketplace forecasting, and production ML models (matching, quality scoring) while partnering cross-functionally to drive business impact. Requires 6+ years DS experience including 2+ years managing technical teams, strong Python/ML/SQL skills, and production ML expertise.
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Data scientist partnering with Product, Engineering, and Design to shape mobile consumer creation roadmap at Suno. Design/run experiments, build analyses to identify magic moments driving creative engagement, establish success metrics, and contribute to data foundations. Requires 6-8+ years in consumer tech/mobile, advanced SQL/Python/stats, and end-to-end experimentation experience.
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
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Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.
Staff Data Scientist in Pinterest's CFO organization owning end-to-end forecasting tooling (data pipelines to UI), driving AI/LLM adoption for Finance & BizOps teams, delivering analytics, and advising executives on AI strategy. Requires 8+ years experience, strong forecasting, full-stack tool-building, and AI foresight skills.
Lead development of predictive ML models, causal inference frameworks, and AI agents to forecast patient outcomes, measure clinical impact, and drive value-based care performance for Pearl Health's platform.
Lead rigorous research on employee experience, manager effectiveness, and organizational health at Anthropic. Design studies, analyze surveys with psychometrics, build frameworks, and translate findings into people strategy using SQL, Python/R, and advanced methods. Requires advanced degree and 5+ years quantitative research experience.
Senior Staff Data Scientist partnering with executives to provide data-driven strategic recommendations, build analytical solutions for complex problems, and mentor the data science team at Mozilla.
Senior Staff Data Scientist partnering with executives to provide data-driven strategic recommendations. Requires exceptional communication, influence without authority, and deep expertise in Python/R, SQL, statistics and modern data science methods.
Staff Data Scientist partnering with Strategic Finance on Chime's Spending portfolio. Build self-serve analytics infrastructure, semantic layers, AI-assisted workflows, and data pipelines while mentoring analysts and influencing senior leaders with insights on unit economics, experimentation, and forecasting.
Lead and grow a team of Applied Scientists and Data Scientists to define the data science vision, develop ML and experimentation solutions, and influence product strategy and business growth through deep analysis and cross-functional partnerships. Requires 8+ years in data science/ML, 3+ years managing teams, advanced degree, and expertise in causal inference and Python/SQL.
Data Scientist partnering with infrastructure engineering teams at Pinterest to build metrics, measurement systems, and analytical frameworks that improve reliability, performance, cost efficiency and data quality of core technical systems. Requires 4+ years experience with SQL, experimentation, and production data pipelines.
Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.
Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.
Senior Data Scientist defining measurement frameworks and strategic analyses for Chime's AI-powered app experiences and member engagement. Owns metrics as source of truth, partners with executives across Product/Engineering/Marketing, leads deep-dive analyses, mentors team, and drives product impact. Requires 5-7 years experience, SQL, dbt, stats, and executive stakeholder skills.
Senior GTM Data Scientist partnering with Sales, Marketing, and Customer Success teams. Design and deploy predictive ML models (LTV, attribution, propensity), run experiments with causal inference, and translate insights into actionable GTM strategies. Requires 4+ years in applied data science with strong Python/SQL and experimentation skills.
Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior data scientist partnering with Stripe's Security organization to model, quantify, and mitigate security risks using telemetry, logs, and ML. Provide technical leadership, mentorship, and data-driven strategy for detection, access controls, and threat protection.
Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.
Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.
Build industrial data factories and pipelines for next-generation Voice AI foundation models at Deepgram. Requires expertise in data processing stacks, statistical/deep learning methods on complex audio, Python/PyTorch, and scaling data systems for conversational speech models.
Senior Data Scientist partnering with Lending, Product, Engineering, Risk and Finance teams at Chime to own experimentation, A/B testing, causal analysis and metrics across credit and liquidity products. Requires 5-7 years product/business data science experience, expert SQL/Python, stats/ML expertise, and strong stakeholder influence.
Forward Deployed Data Scientist partnering with customers to detect emerging fraud patterns, tune ML models and signals, conduct forensic investigations, and translate field insights into product improvements for Sift's AI-powered fraud platform. Requires 5-8 years in fraud/trust & safety with strong SQL, Python, and ML expertise.
Senior Data Scientist building, improving, and deploying ML models for credit risk, fraud detection, and transaction optimization at a consumer fintech company. Requires 5+ years data science experience, advanced degree, Python/SQL/ML expertise, and end-to-end model ownership from ideation to production A/B testing.
Lead Data Scientist responsible for building, deploying, and owning ML models for credit risk, fraud detection, and payment optimization at a consumer fintech company. Requires 6+ years of data science experience, advanced degree, end-to-end modeling expertise, and strong cross-functional communication skills.
Data Scientist designing and analyzing A/B tests, causal inference experiments, and retention frameworks (cohorts, churn, DAU/WAU/MAU) to drive product growth and user engagement at Arena Intelligence. Requires 3+ years in experimentation, strong stats background, SQL/Python/PySpark skills.
Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.
Build specialized evals and automated pipelines to measure and improve answer quality for Perplexity's LLM-powered search engine, focusing on retrieval, tool calls, and visual rendering. Requires 4+ years in data science/ML, strong Python/SQL, and cloud experience (MS/PhD preferred).
Senior Data Scientist driving performance marketing measurement, experimentation, and LTV modeling to optimize user growth and marketing spend. Requires 5+ years experience, master's degree, strong statistics and Python/SQL skills.
Builds and maintains reproducible multi-omics data pipelines and analysis workflows supporting NCI cancer research. Requires strong Python/R skills and experience with at least two omics data types.
Embedded Data Scientist supporting Acquisition Marketing to measure, optimize, and scale patient acquisition efforts through attribution, experimentation, and performance analytics. Requires 3+ years in marketing analytics and proficiency in SQL/Python/R.
Economist (up to 5 years post-PhD) conducting empirical research on AI’s economic impacts using large datasets, causal inference, and structural modeling. Requires PhD and strong econometrics/SQL/Python skills.
Lead data science projects on ads delivery, LTV, and engagement tradeoffs. Design ML frameworks, drive experimentation, and mentor scientists. Requires 10+ years experience and deep expertise in ML, causal inference, and product analytics.
Lead and grow a data science team building predictive models for credit risk, payments, and consumer financial products. Drive adoption of AI tools and partner with product and engineering on roadmap and impact.
Conduct original quantitative research and build analytics capabilities using private markets data to generate insights, develop indices, and support product and marketing efforts. Requires 6-10 years experience in equities markets, advanced programming skills, and a Master's degree.
Conduct original quantitative research and build analytics capabilities using private markets data to generate insights and indices for clients and internal teams. Requires 6-10 years experience in equities markets, advanced programming skills, and a Master's degree.
Senior Data Scientist embedded in a product pod to design experiments, run causal analyses, and build predictive models that improve mental healthcare outcomes. Requires 6+ years driving product decisions with strong SQL/Python or R skills.
Data Scientist focused on policy work, transforming internal usage and survey data into evidence for policymakers. Requires Python, SQL, causal inference expertise, and experience producing external-facing analyses.
Data Scientist embedded in marketing to define metrics, run experiments, and build analytics systems that drive customer acquisition and lifecycle performance.
Data Scientist focused on compute allocation and causal inference to optimize AI infrastructure decisions and connect supply choices to user outcomes. Requires strong Python/SQL skills and experience with constrained optimization and production systems.
Manage and mentor a team of data scientists building fraud detection models and financial risk products. Own end-to-end model development from data acquisition through production, while driving technical direction and cross-functional planning.