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.

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.

Leads marketing analytics strategy and architecture, building predictive models, data warehouse foundations, BI frameworks, and AI-powered automation to improve demand generation, conversion, and retention. Requires 8+ years of analytics, GTM strategy, or data science experience plus hands-on expertise in SQL, Python, BigQuery, agentic AI, and executive communication.

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 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.

Evaluates and improves model-generated responses to data science and coding tasks, including code review, debugging, visualization, and agent-trajectory assessment. Requires 3+ years of relevant data science experience, Python and SQL proficiency, and familiarity with common data formats.

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 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 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).

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.

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 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.

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.

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.

Founding product data scientist driving PLG and B2B growth strategy through experimentation, analytics, and opportunity sizing. Requires 5-8 years experience with 3+ years in growth, strong SQL/Python, and A/B testing expertise.

Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.

First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.

Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.

Data Scientist leading analytics for Spotify's Discovery Mode ML squad. Designs experiments, builds evaluation frameworks, and partners with ML engineers to improve model performance and customer outcomes.

Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.

Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.

Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.

Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.

Quant Trader managing positions, analyzing market data, modeling trading opportunities, and building tools for trading decisions and risk management. The role requires strong Python programming, quantitative reasoning, and interest in financial markets and algorithmic trading.

Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.

Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.

Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.

Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.

Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.

Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.

Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.

Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.

Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.

Staff Data Scientist driving ads product strategy and data-driven decision-making at Pinterest. Partners with product, engineering, and finance teams to translate business questions into analytical solutions and maintain data quality.

Growth Product Scientist partnering with PMs, engineers, and marketers to drive acquisition, activation, and retention through experimentation, causal analysis, and self-serve analytics tooling.

Lead and hands-on manage a Product Data Science team focused on app experience, marketplace, and AI-native product features. Drive AI evaluation, agentic services, and mentor team on ML/LLM best practices.

Data Scientist focused on designing and implementing quantitative metrics to evaluate autonomous vehicle behavior using large-scale logs and simulation data.

As a Senior Data Scientist on the Trust team, you will protect the integrity of Linktree's platform by applying data science and statistical modeling expertise to measure harm, assess risk, and improve detection and mitigation systems. You will define core Trust metric frameworks and evaluate ML and LLM-based safety systems.

As a Data Scientist, you will lead the future of analytics at Ramp by developing data products and insights. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize and execute work, improve reporting, and drive results.