Leads a quantitative research function while directly developing and deploying systematic equity and derivatives signals that contribute to live trading P&L. Requires 5+ years of alpha research experience, a STEM degree, strong programming and research-infrastructure fluency, and a proven profitable track record.

Designs and leads empirical studies evaluating ambient AI impact on patient outcomes and care quality using large-scale clinical data. Develops measurement frameworks and collaborates with product teams; requires PhD and strong publication record in evaluation research.

Leads and contributes directly to systematic equity alpha research in China, producing scalable signals and influencing live trading P&L. The player-coach role requires a STEM degree, at least five years of relevant experience, strong programming and research infrastructure skills, and a demonstrated record of profitable research.

Drives customer success for OpenAI's business products through data analysis, experimentation, and insights to boost adoption and engagement. Requires 7+ years in data science, expertise in Python, R, SQL, statistics, and causal inference.

Data Scientist evaluates and improves AI mitigation systems, focusing on classifiers and detection pipelines for risks like biosecurity and cybersecurity. Builds monitoring frameworks and drives cross-functional impact using Python, SQL, and analytical expertise.

Develop Python-based analytics tools, design experiments to optimize CTV ad campaigns, and translate insights into data science products. Requires strong Python coding, statistics, ML fundamentals, and adtech experience.

Build AI agents and infrastructure that autonomously conduct data analyses, make warehouses AI-readable, and create self-healing pipelines to 10x data team productivity at an AI company. Requires 6-8+ years in data science/analytics engineering, deep SQL and Python skills, product sense, and hands-on LLM/AI experience.

Builds AI agents and systems to automate end-to-end data science workflows, including analysis, querying, pipelines, and experiment interpretation. Requires 6+ years in data science/engineering with strong SQL, Python, and AI experience.

This role owns financial analytics, building forecasts, scenario analyses, production-grade data models, and predictive insights around revenue, retention, and unit economics. It partners with Finance, Data, and Engineering to provide trusted analysis and narratives for leadership, the board, fundraising, and strategic decisions.

Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.

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.

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.

Analyzes and reconciles financial and transactional data to improve customer funds reporting, controls, and payments analytics. The role partners cross-functionally with Finance, Compliance, Engineering, and Product while improving dbt pipelines, automation, and data architecture.

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 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.

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.

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.

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.

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.

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.

Intern on the Energy Markets team building quantitative risk models, Monte Carlo simulations, and automated tooling to price and risk-weight capacity positions in wholesale energy markets. Requires graduate-level quantitative background, strong programming skills, and demonstrated interest in capacity markets.

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.

This role designs data collection and evaluation processes, analyzes dataset quality and model robustness, and trains large language models on distributed infrastructure. It requires strong software engineering, statistics, experimental design, machine learning, and cross-functional communication 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.

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.

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.

Data Scientist responsible for strengthening analytics across growth, product, and marketing through behavioral analysis, experimentation, dashboards, and actionable recommendations. Requires strong SQL, Python, and statistical analysis skills, plus the ability to connect user behavior with growth and retention.

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.

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.

Analyzes user behavior, product usage, and AI model performance to guide product decisions and improve automation pipelines. The role requires a bachelor's degree, 1–2 years of AI analyst experience, Python and SQL proficiency, and statistical analysis skills.

Develops quantitative models and trading strategies for futures markets using financial data, machine learning, and statistical analysis. Requires 2+ years experience, STEM degree, and Python proficiency.

Data Scientist embedding with product teams to define metrics, run A/B tests, build dashboards, and drive data-informed decisions for consumer and enterprise AI products. Requires 5+ years quantitative experience with SQL/Python in hyper-growth environments.

Drive strategic data projects end-to-end, building models and metrics that shape go-to-market strategy and operations. Requires 4+ years analytics experience or advanced quantitative degree, strong SQL/Python skills, and ability to work directly with leadership on high-impact business decisions.

Staff Data Scientist evaluates behavior in autonomous driving systems by analyzing large-scale fleet and simulation data, developing ML algorithms for feature engineering and model optimization, and ensuring safety through rigorous testing. Requires Master's/PhD and 8+ years experience in data science with Python and ML expertise.