As a Data Scientist, Platform Product, you will drive data-informed decision-making for Anthropic's Developer Platform. You will define key metrics, conduct deep dives into product and usage data, and apply rigorous causal inference methods to evaluate platform changes and influence the product roadmap.

Leads advanced analytics for Airbnb’s Hosting Services programs, using statistical modeling, experimentation, causal inference, and business insight generation across markets and host segments. Requires a quantitative bachelor’s degree and 8+ years of analytics or data science experience.

As an early member of the Safeguards Data Science and Analytics team, you will build and scale a data-driven culture, defining key metrics, analyzing user behavior, and influencing product strategy to deploy safe, frontier AI at scale.

Leads a team responsible for financial risk analytics, loss provisioning, forecasting, and executive risk reporting across fintech products. Requires substantial data science and risk experience, team leadership, quantitative graduate education, and expertise in Python, R, and SQL.

As a Staff Data Scientist, Marketplace Analytics, you will be a senior analytical voice at Zocdoc, leading experimentation and analytical strategy across product, growth, monetization, and marketing initiatives. You will apply rigorous experimentation and causal inference frameworks to complex business problems.

As a Senior Staff Data Scientist, you will be the go-to expert on experimentation methodology for Reddit's Consumer team, tackling complex challenges like network effects and influencing product strategy through rigorous experimental design and analysis.

As a Quantitative Trading Strategist, you will leverage deep market knowledge and quantitative skills to enhance systematic trading strategies, focusing on algorithmic execution, securities lending, and portfolio financing across various asset classes.

Lead a 3-person data team to own attribution, experimentation, LTV/CAC, segmentation, and forecasting. Partner directly with executives on capital allocation and GTM decisions.

Lead end-to-end analytics projects and experimentation initiatives, partnering with product leaders to measure impact, define metrics, and drive data-informed decisions. Requires 7+ years experience, strong statistical and causal inference skills, Python/R, SQL, and excellent communication abilities.

Lead marketing measurement and experimentation for Instacart. Own MMM, MTA, incrementality testing, predictive modeling, and dashboards to guide multi-million dollar marketing investments.

Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.

Senior Data Scientist building data-driven products and product analytics at Databricks. Works with PM, Sales, and CS stakeholders on usage forecasting and funnel analysis; mentors junior data scientists.

Lead end-to-end data science projects spanning growth experiments, repayment forecasting models, and data infrastructure. Build ML models, design metrics, and partner cross-functionally to expand responsible access to capital.

Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.

Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.

Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.

Data Scientist partnering with engineering teams to measure, optimize, and improve Pinterest's infrastructure systems including performance, reliability, and metrics quality. Requires strong SQL, experimentation skills, and experience building production data pipelines and measurement frameworks.

Data Scientist focused on safety at OpenAI, building analytics to measure harmful behavior, detect fraud, evaluate safety systems, and inform critical decisions on AI deployment. Requires strong SQL/Python, statistical reasoning, and experience with causal analysis.

Staff Data Scientist on the Pay team building and productionizing ML/LLM models to detect erroneous healthcare claims payments. Owns end-to-end data science work, leads high-impact initiatives, and sets technical direction.

Leads applied research and development of LLM-powered systems and autonomous AI agents for cloud security. The role requires 5+ years leading data science and machine learning projects, strong practical LLM expertise, cloud-native experience, and an advanced degree or equivalent experience.

Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.

Leads strategy and technical execution for Reddit's marketing intelligence, building MMM and MTA systems to optimize B2B advertiser acquisition and B2C user growth. Requires advanced degree, 6-10+ years experience in marketing science/econometrics, and expertise in Python/R/SQL for causal inference and experimentation.

Staff Data Scientist partners with product and engineering to optimize monetization via subscriptions, ads, and virtual currencies. Leads experimentation, defines metrics, and delivers insights from behavioral data for revenue growth. Requires 7+ years in consumer products.

Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.

Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.

Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.

Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.

Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.

Evaluates AI-generated medical content for accuracy, completeness, relevance, and educational usefulness. Requires an MBBS, MBChB, or MD and at least two years of medical education experience while currently teaching medical students in the UK, New Zealand, or Australia.

Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.

Data Scientist analyzes large datasets, builds scalable data pipelines using DBT, Segment, and Redshift, and drives product decisions through statistical modeling and visualization. Requires 4+ years experience, SQL proficiency, and cloud platform expertise.

Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.

Leads data science team to deliver insights driving product strategy, user analysis, ROI frameworks, and model evaluation in healthcare AI. Requires 12+ years experience, MS/PhD, and expertise in Python, R, SQL for large-scale analytics.

Build analytical frameworks and experiments to optimize user discovery, engagement with content/social features, and creator success on a music platform. Requires 5+ years in data science, SQL/Python proficiency, and strategic insight into content ecosystems.

Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.

Develops and deploys end-to-end pricing models for commercial auto insurance, building feature pipelines from messy data and monitoring performance. Requires 3+ years experience with statistical modeling (GLMs, GBDTs), Python/SQL, and actuarial concepts.

Lead data scientists design and execute experiments like A/B tests and causal inference to inform product and go-to-market decisions, build predictive models for forecasting and segmentation, and manage a team of analysts while shaping company strategy.

Staff Data Scientist designs statistical frameworks and conducts robust analysis to validate safety-critical AI systems for autonomous vehicles. Delivers data-driven insights to engineering teams and leadership, scaling pipelines for petabyte-scale driving data analysis. Requires MS/PhD in quantitative field and expertise in Python, SQL, and statistical methods.

Builds and maintains machine learning models, applies statistical analysis, and delivers insights that guide product, go-to-market, and business decisions. The role requires 3+ years of data science experience, strong Python and SQL skills, and a bachelor's degree in a quantitative or computer science field.

Staff Data Scientist owns company-wide data strategy, experimentation framework, metric forecasting, and ML modeling at a social AI product studio. Requires 7+ years experience, deep SQL/Python fluency, and proactive product partnership across millions of users.

As Director, Data Science, you will lead and mentor data scientists, guiding multiple data science projects involving statistical modeling, experiment design, and classifier implementation. You will drive product and business impact by fostering a data-driven culture and developing strategies for actionable insights.

Lead data science efforts in monetization by designing experiments, building models for ad pricing and supply, and analyzing trade-offs in ads ecosystem metrics. Requires 5+ years experience, stats expertise, and proficiency in Python/SQL.

Senior Data Scientist optimizes product performance and supports new initiatives through data analysis, working with cross-functional teams to deliver actionable insights using SQL, Python, and analytics tools.

Staff Data Scientist owns advertising measurement, identity resolution, and signal quality using advanced stats and ML. Requires advanced degree, 6-10+ years experience, ads expertise, Python/R/SQL proficiency.

Leads Canada demand generation strategy and programs across ABM, events, webinars, content, and sales activations to grow pipeline. Requires 6+ years of B2B SaaS demand generation experience, strong analytical and cross-functional skills, and ideally business-level Québécois French.

Senior Data Scientist builds forecasting models, performs root cause analysis, analyzes cloud infrastructure usage, and champions data quality to support AI infrastructure operations and strategic decisions. Requires strong SQL/Python skills, analytical methods, and data visualization proficiency.

Leads growth data science by building advanced demand forecasting, marketing spend optimization, experimentation frameworks, and attribution models to drive business growth and operational efficiency. Requires 5+ years experience in forecasting, experimentation, Python/R/SQL expertise.

Measures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.

Leads development of standards and validation frameworks for dynamic structural biology data, focusing on ensemble models from X-ray crystallography and cryo-EM. Collaborates with engineers to build deposition, search, and retrieval infrastructure for the diffUSE Project. Requires PhD in structural biology or related field.

Principal Data Scientist serves as the statistical authority, translating complex data science insights into actionable narratives for C-suite and Board. Drives data-driven decisions through strategic analyses, methodology standards, and cross-functional influence. Requires PhD and 15+ years experience.