Senior Data Scientist owns analytical frameworks, designs experiments, builds statistical/ML models, and influences product decisions across Instacart's marketplace teams. Requires 5+ years quantitative experience, SQL/Python proficiency, and advanced degree preferred.
Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.
Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.
Develops and applies advanced data science models to enhance Reddit's advertising platform performance and advertiser experience. Requires advanced degree, 4-5+ years industry experience, expertise in ML, statistical modeling, and large-scale data tools.
Build predictive ML models, time-series forecasts, and A/B tests to anticipate patient needs and optimize healthcare operations. Requires strong Python, statistics, SQL expertise, and preferably a master's/PhD in data science.
Staff Data Scientist guides Reddit's consumer product strategy using data insights, experimentation, and metrics to boost user engagement and retention. Requires advanced degree, 6-10+ years experience, SQL/Python expertise, and causal inference skills.
Lead strategic data science for Reddit's ads platform, owning advanced quantitative solutions in statistics, econometrics, and machine learning to optimize marketplace dynamics, advertiser ROI, and revenue. Requires Master's/PhD with 8-12+ years experience and expertise in ads systems.
Data Scientist analyzes customer behavior, product usage, and business performance to drive strategic decisions across Product, GTM, and leadership. Requires 5+ years in data science/product analytics, strong SQL, and experience in high-growth B2B SaaS environments.
Partners with customers and engineering to optimize AI-driven marketing campaigns through diagnostics, ML tuning, data analysis, and clear communication of insights to non-technical stakeholders. Focuses on incrementality, experimentation, and performance improvement using Python, SQL, and notebooks.
Develops predictive models and analyzes data to manage risk and liability in daily fantasy sports trading operations. Requires DFS/sports betting expertise, SQL/Python proficiency, and comfort with large datasets and off-hours work.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on the Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.
Leads company-wide standards for Bayesian experimentation and causal inference to improve decision quality in high-stakes, noisy data environments. Requires 12+ years experience, deep expertise in causal methods, and strong SQL/Python/R skills.
Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.
Lead growth analytics by building statistical/ML models to evaluate marketing channel performance, attribution, and causal impact on enterprise sales. Partner cross-functionally to optimize multi-million dollar monthly spend.
Leads a team of data scientists to deliver data-driven insights for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Staff Data Scientist owns product measurement strategies, leads cross-team initiatives, sets experimentation standards, and builds scalable analytics for product areas. Requires 10+ years experience, SQL/Python expertise, and strong causal inference skills.
Senior analytical leader building marketing measurement systems, incrementality testing, and growth models to drive channel strategy and executive decisions at a Series D mental health platform.
Measures incremental impact of new rider product features using advanced causal inference. Partners with Product, Engineering, and Finance to drive innovation decisions. Requires Master's/PhD, 3+ years applied experience, Python/SQL proficiency.
Measures incremental impact of new rider product features using advanced causal inference, designs production-grade measurement systems, and partners with Product/Engineering to drive innovation and business growth. Requires 3+ years experience, Master's/PhD, Python/SQL proficiency.
Pioneers quantitative research for music generation AI using proprietary datasets, designs evaluation frameworks for models, drives data roadmaps, and builds production infrastructure at the intersection of research, engineering, and product. Requires PhD or 5+ years quant experience with strong coding skills.
Build marketing data science function, define metrics and dashboards, model channel/campaign performance using stats/ML. Partner with Marketing/GTM/Finance; requires 6+ years experience, SQL/Python/R expertise, modern data stack proficiency.
Staff Data Scientist leads advanced analytics, experimentation, and causal inference to drive product decisions and business impact. Requires 7+ years experience, strong SQL/Python skills, statistical expertise, and cross-functional collaboration.
Senior Data Scientist builds fraud detection models and financial risk products, handling full lifecycle from data acquisition to production code. Requires 4+ years experience (or advanced degree), strong ML/stats skills, and production coding ability.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
Analyzes user behavior, models campaign outcomes, runs experiments, and builds data/ML pipelines to optimize creator ad matching, pricing, and attribution in a high-growth adtech platform. Applies analytical methods to big data for product and business decisions.
Lead development of personalization and recommendation systems as an early data hire. Build ML pipelines, classification models, and data infrastructure from the ground up using SQL and Python.
Data Scientist embedded across Product, Finance, Marketing, and Platform teams to build models, design experiments, develop data pipelines, and drive strategic insights using Python, SQL, and distributed systems. Requires 4+ years experience and cross-functional collaboration.
Data Scientist owns high-impact projects across Product, Finance, Marketing, and Platform teams, building models, designing experiments, and driving decisions through data insights. Requires 4+ years experience, SQL/Python fluency, and cross-functional collaboration.
Analyzes user behavior and product experiments to drive insights for growth, retention, and enterprise strategy at Replit. Requires 5+ years in product analytics, strong SQL/Python skills, and expertise in A/B testing and causal inference.
Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.
Leads end-to-end data science projects from ideation to deployment, building scalable ML models and pipelines to drive business impact. Requires 5+ years in ML, Python data stack, cloud infrastructure, and strong communication skills.
Senior Data Scientist extracts insights from healthcare data, models user behavior, designs A/B tests, and evaluates AI models to drive product improvements and business decisions. Requires 8+ years in Python, R, SQL analytics and 5+ years in product-facing roles.
Owns analytics and experimentation for checkout, payments, subscriptions, and pricing to boost revenue, reduce churn, and scale globally. Requires 5+ years in data science or product analytics with SQL/Python fluency and A/B testing expertise in high-growth/fintech settings.
Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.
Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.
Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.
Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.
Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.
Data Scientist shapes infrastructure scaling for OpenAI's AI models and products by building datasets, metrics, forecasting/optimization models, and dashboards. Partners with engineering, research, and product teams; requires 5+ years experience, SQL/Python expertise.
Develops and maintains business intelligence dashboards and statistical models to analyze user behavior and support product decisions. Requires 5+ years in data science, strong SQL/Python skills, and experience with large-scale data.
Senior Data Scientist owns analytical frameworks, designs experiments, builds statistical/ML models, and influences product decisions across Instacart's marketplace teams. Requires 5+ years quantitative experience, SQL/Python proficiency, and advanced degree preferred.
Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.
Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.
Develops and applies advanced data science models to enhance Reddit's advertising platform performance and advertiser experience. Requires advanced degree, 4-5+ years industry experience, expertise in ML, statistical modeling, and large-scale data tools.
Build predictive ML models, time-series forecasts, and A/B tests to anticipate patient needs and optimize healthcare operations. Requires strong Python, statistics, SQL expertise, and preferably a master's/PhD in data science.
Staff Data Scientist guides Reddit's consumer product strategy using data insights, experimentation, and metrics to boost user engagement and retention. Requires advanced degree, 6-10+ years experience, SQL/Python expertise, and causal inference skills.
Lead strategic data science for Reddit's ads platform, owning advanced quantitative solutions in statistics, econometrics, and machine learning to optimize marketplace dynamics, advertiser ROI, and revenue. Requires Master's/PhD with 8-12+ years experience and expertise in ads systems.
Data Scientist analyzes customer behavior, product usage, and business performance to drive strategic decisions across Product, GTM, and leadership. Requires 5+ years in data science/product analytics, strong SQL, and experience in high-growth B2B SaaS environments.
Partners with customers and engineering to optimize AI-driven marketing campaigns through diagnostics, ML tuning, data analysis, and clear communication of insights to non-technical stakeholders. Focuses on incrementality, experimentation, and performance improvement using Python, SQL, and notebooks.
Develops predictive models and analyzes data to manage risk and liability in daily fantasy sports trading operations. Requires DFS/sports betting expertise, SQL/Python proficiency, and comfort with large datasets and off-hours work.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on the Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Develops mathematical models and algorithms for rideshare supply-demand matching and optimization on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, Python proficiency, and ML expertise.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.
Leads company-wide standards for Bayesian experimentation and causal inference to improve decision quality in high-stakes, noisy data environments. Requires 12+ years experience, deep expertise in causal methods, and strong SQL/Python/R skills.
Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.
Lead growth analytics by building statistical/ML models to evaluate marketing channel performance, attribution, and causal impact on enterprise sales. Partner cross-functionally to optimize multi-million dollar monthly spend.
Leads a team of data scientists to deliver data-driven insights for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Staff Data Scientist owns product measurement strategies, leads cross-team initiatives, sets experimentation standards, and builds scalable analytics for product areas. Requires 10+ years experience, SQL/Python expertise, and strong causal inference skills.
Senior analytical leader building marketing measurement systems, incrementality testing, and growth models to drive channel strategy and executive decisions at a Series D mental health platform.
Measures incremental impact of new rider product features using advanced causal inference. Partners with Product, Engineering, and Finance to drive innovation decisions. Requires Master's/PhD, 3+ years applied experience, Python/SQL proficiency.
Measures incremental impact of new rider product features using advanced causal inference, designs production-grade measurement systems, and partners with Product/Engineering to drive innovation and business growth. Requires 3+ years experience, Master's/PhD, Python/SQL proficiency.
Pioneers quantitative research for music generation AI using proprietary datasets, designs evaluation frameworks for models, drives data roadmaps, and builds production infrastructure at the intersection of research, engineering, and product. Requires PhD or 5+ years quant experience with strong coding skills.
Build marketing data science function, define metrics and dashboards, model channel/campaign performance using stats/ML. Partner with Marketing/GTM/Finance; requires 6+ years experience, SQL/Python/R expertise, modern data stack proficiency.
Staff Data Scientist leads advanced analytics, experimentation, and causal inference to drive product decisions and business impact. Requires 7+ years experience, strong SQL/Python skills, statistical expertise, and cross-functional collaboration.
Senior Data Scientist builds fraud detection models and financial risk products, handling full lifecycle from data acquisition to production code. Requires 4+ years experience (or advanced degree), strong ML/stats skills, and production coding ability.
Develop datasets and metrics to verify and validate autonomous driving perception systems. Analyze performance data, define KPIs, and provide insights to engineering teams. Requires advanced degree in stats/CS and proficiency in Python, SQL, and statistical methods.
Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
Analyzes user behavior, models campaign outcomes, runs experiments, and builds data/ML pipelines to optimize creator ad matching, pricing, and attribution in a high-growth adtech platform. Applies analytical methods to big data for product and business decisions.
Lead development of personalization and recommendation systems as an early data hire. Build ML pipelines, classification models, and data infrastructure from the ground up using SQL and Python.
Data Scientist embedded across Product, Finance, Marketing, and Platform teams to build models, design experiments, develop data pipelines, and drive strategic insights using Python, SQL, and distributed systems. Requires 4+ years experience and cross-functional collaboration.
Data Scientist owns high-impact projects across Product, Finance, Marketing, and Platform teams, building models, designing experiments, and driving decisions through data insights. Requires 4+ years experience, SQL/Python fluency, and cross-functional collaboration.
Analyzes user behavior and product experiments to drive insights for growth, retention, and enterprise strategy at Replit. Requires 5+ years in product analytics, strong SQL/Python skills, and expertise in A/B testing and causal inference.
Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.
Leads end-to-end data science projects from ideation to deployment, building scalable ML models and pipelines to drive business impact. Requires 5+ years in ML, Python data stack, cloud infrastructure, and strong communication skills.
Senior Data Scientist extracts insights from healthcare data, models user behavior, designs A/B tests, and evaluates AI models to drive product improvements and business decisions. Requires 8+ years in Python, R, SQL analytics and 5+ years in product-facing roles.
Owns analytics and experimentation for checkout, payments, subscriptions, and pricing to boost revenue, reduce churn, and scale globally. Requires 5+ years in data science or product analytics with SQL/Python fluency and A/B testing expertise in high-growth/fintech settings.
Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.
Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.
Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.
Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.
Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.
Data Scientist shapes infrastructure scaling for OpenAI's AI models and products by building datasets, metrics, forecasting/optimization models, and dashboards. Partners with engineering, research, and product teams; requires 5+ years experience, SQL/Python expertise.
Develops and maintains business intelligence dashboards and statistical models to analyze user behavior and support product decisions. Requires 5+ years in data science, strong SQL/Python skills, and experience with large-scale data.