Develops and ships data science models and financial insights that guide Finance and business decisions. The role requires 3+ years of industry experience, strong SQL and AI proficiency, and familiarity with financial metrics or B2B enterprise sales processes.

Leads Mercury’s data engineering organization and long-term platform strategy, building reliable, governed infrastructure and reusable data products for analytics, AI, operational systems, and self-service. Requires 10+ years of relevant experience, including 5+ years leading data or engineering teams.

The Senior Data Scientist will build scalable product analytics assets, measurement frameworks, and AI-assisted analytical workflows while partnering with cross-functional teams to guide product and business decisions. The role requires 4+ years of applied data experience and strong SQL, programming, statistics, machine learning, and experimentation skills.

Own medium-range demand forecasts for Anthropic's expanding infrastructure fleet across accelerators, CPU, storage, network, and managed services. The role requires hands-on SQL/Python modeling, large-scale infrastructure planning experience, and partnership with sourcing, Finance, and efficiency teams.

The Staff Product Analyst will shape measurement strategy for Grafana’s AI products by defining KPIs, guiding instrumentation and experimentation, building dbt models, and translating user behavior data into product recommendations. The role requires strong SQL, product analytics, visualization, and cross-functional communication skills.

Leads Pinterest’s APAC Measurement Solutions organization, shaping advertiser measurement strategy across experimentation, attribution, MMM, clean rooms, and retail media. The role requires regional people leadership, executive stakeholder influence, and strong expertise in privacy-safe measurement and commercial analytics.

The Data Scientist will analyze large datasets, build and deploy machine learning models, conduct statistical testing, and communicate actionable insights. The role requires 4+ years of experience, strong Python and SQL skills, and a bachelor's or master's degree in a quantitative field.

Build and scale evaluation, experimentation, and quality systems for Cortex Code’s enterprise coding agents. The role requires 10+ years shipping AI/ML-backed production software, strong programming skills, and Staff-level technical leadership across engineering, modeling, and product.

Build and maintain trusted data models, pipelines, dashboards, and workflows across Product and GTM. The role requires 5+ years of analytics or data engineering experience, exceptional SQL, strong dbt and cloud warehouse expertise, and sound analytical judgment.

The Research Analyst produces financial, market, and client intelligence through statistical modeling, dashboards, experimentation, forecasting, and advertising optimization. The role requires a master’s degree and at least one year of related experience, with proficiency in Python, R, cloud platforms, SQL, BI tools, and marketing analytics.

Develops and evaluates production machine learning models for document verification, fraud detection, and biometric applications. The role requires 5+ years of experience, expert Python and SQL skills, and an advanced degree or equivalent experience.

Builds and scales the analytical data foundation across business and product teams, owning dbt models, Snowflake, Python/Airflow pipelines, reconciliation, data quality, and semantic layers for AI tools. Requires 5+ years of analytics or data engineering experience with strong SQL, dbt, Python, and SaaS data expertise.

Develops novel Bayesian statistical and machine learning methods, production implementations, and evaluation frameworks for clinical AI. The role requires a PhD in statistics or machine learning, strong Python and PyTorch skills, and expertise in Bayesian modeling and deep learning.

Develops novel causal inference and treatment-effect modeling methods for clinical AI, translating research into production-ready code and evaluation frameworks. Requires a PhD in causality, statistics, or machine learning, strong Python and PyTorch skills, and experience with observational and randomized trial data.

Conducts research and develops production-ready survival analysis and machine learning methods for clinical AI, including evaluation frameworks and research publications. Requires a PhD in machine learning or statistics, strong statistical foundations, and expertise in Python and PyTorch.

The Analytics Lead will analyze customer-support data, define performance metrics, design experiments, and deliver recommendations that improve the support experience. The role requires quantitative education, at least two years of analytical or data-science experience, and strong SQL and Python skills.

Analyzes pre-sales, pipeline, adoption, trial, and partner engagement data to improve revenue operations and digital sales programs. The role requires advanced SQL and Python, cross-functional stakeholder collaboration, data modeling, experimentation, and strong data-quality practices.

Staff-level data scientist who will define product metrics, lead experimentation and causal analysis, mine complex datasets, and build data products for a B2B SaaS platform. The role requires 8+ years of quantitative experience, advanced SQL, Python or R, and ownership of dbt-based data pipelines.

Build and scale Gusto’s machine learning and AI platform, including MLOps pipelines, model deployment frameworks, infrastructure, and observability. The role requires 5+ years of software engineering experience, proficiency in Python, Ruby, or Java, and experience with ML lifecycle infrastructure and cloud platforms.

Build and ship AI-native quality platform features, integrating and evaluating LLMs in real-world applications. The role requires strong software engineering fundamentals, 3+ years of experience, and hands-on expertise in prompt engineering, LLM observability, fine-tuning, and evaluation systems.

The Product Data Analyst will analyze acquiring operations and merchant lifecycle data, build Tableau reporting frameworks, investigate data and settlement issues, and translate complex metrics into actionable insights. The role partners cross-functionally to improve product adoption, operational efficiency, and financial performance.

Owns monitoring and reporting for personal-loan credit and model performance, investigates trends and unexpected outcomes, and recommends data-driven treatments. Requires a quantitative master’s degree, 6+ years of analytics or data-science experience, and Python and SQL expertise.

Leads architecture and delivery of large-scale advertising data systems, including off-platform integrations, cleanroom workflows, taxonomy automation, and measurement pipelines. The role requires 8+ years of backend or data engineering experience, strong Python, data-platform expertise, privacy knowledge, and hands-on AI-assisted development.

Builds scalable experimentation, training, orchestration, and agentic AI infrastructure that accelerates Reddit’s Ads ML lifecycle. Requires 5+ years in infrastructure or distributed systems and production ML platform experience.

Leads the technical strategy, governance, and quality of Discord’s analytical data infrastructure, building trusted curated datasets and metric frameworks for internal and externally reported analytics. Requires 7+ years in data and software engineering, expert SQL, strong Python, and experience operating data systems at scale.

Build and operate production machine learning systems for real-time conversational AI, spanning data pipelines, model training, deployment, monitoring, and MLOps. The role requires strong machine learning, deep learning, NLP, Python, and production systems experience.

Build scalable backend and infrastructure systems for reinforcement-learning environments that train AI agents, partnering with researchers and leading AI labs. The role requires strong engineering judgment, hands-on leadership, and experience with ML/LLM concepts and scalable systems.

Plans and scales AI-enabled workforce forecasting, capacity planning, and operational workflows for high-volume customer experience teams. Requires 7+ years of capacity-planning and forecasting experience, strong analytics and data-pipeline skills, and the ability to lead cross-functional initiatives.

Develops rigorous statistical and causal models powering Mixpanel’s AI-driven product insights, including forecasting, simulation, retention, and cohort detection. Requires 5+ years of applied statistical modeling experience, strong Python and SQL skills, and expertise in causal inference.

Leads the design, governance, evaluation, and production delivery of AI systems for public-sector clients. The role requires 7+ years of engineering experience, production AI/ML ownership, expertise in regulated deployments, and the ability to establish technical standards and advise executive stakeholders.

Leads backend and ML infrastructure architecture across distributed processing, GPU fleets, model serving, and reliability. The role requires 10+ years of large-scale systems experience, strong architectural ownership, and a Computer Science degree or equivalent track record.

Senior Data Analyst supporting Operations and Customer Experience through experimentation, operational metrics, stakeholder partnership, and strategic recommendations. The role requires strong SQL, data modeling or reporting infrastructure experience, and at least four years working with complex datasets.

The Product Analyst independently analyzes product performance, defines success metrics, evaluates experiments, and communicates recommendations to product and machine-learning teams. The role requires 5+ years of analytics experience, strong SQL and Python skills, and quantitative training or equivalent experience.

Leads the architecture and delivery of scalable machine learning infrastructure and customer-facing voice and audio generative AI solutions. The role requires extensive production ML experience, distributed systems expertise, cloud-native operations, and technical leadership across engineering teams.

Researcher developing evaluations, red-teaming pipelines, and novel mitigations for frontier AI safety risks. The role requires deep technical expertise, research engineering experience, advanced training in computer science or machine learning, and proficiency in Python or similar languages.

Builds reliable data models, pipelines, metrics, dashboards, and automation that support Sales and Customer Success. The role requires strong SQL and analytical modeling skills, experience with cloud warehouses and ELT/ETL workflows, Python proficiency, and cross-functional communication.

AI Engineer Intern working with senior engineers to build and evaluate agentic AI systems, benchmarks, model-training pipelines, and safety evaluations. Requires current study in a quantitative field, hands-on ML experience, strong Python fundamentals, and familiarity with PyTorch.

Build, validate, deploy, and maintain machine and deep learning algorithms for biosignal and brain data used in medical devices and precision medicine. The role requires 4+ years of industry experience, production ML expertise, DSP and statistics knowledge, and proficiency with PyTorch or comparable frameworks.

Build and deploy machine learning models for fraud detection, identity verification, and financial risk products across the full lifecycle. The role targets new PhD graduates or early-career researchers with strong foundations in machine learning, statistics, Python, and production software development.

Research Scientist developing and deploying machine learning models for fraud detection, identity verification, and financial risk. The role targets new PhD graduates or early-career researchers with strong quantitative foundations, Python experience, and interest in owning the full production ML lifecycle.

Build and deploy machine learning models for fraud detection, identity verification, and financial risk products across the full lifecycle. The role targets new PhD graduates or early-career researchers with quantitative training, Python experience, and strong analytical and communication skills.

Build and deploy machine learning models that detect fraud and support identity verification and financial risk products. The role suits new PhD graduates or early-career researchers with strong quantitative foundations, Python experience, and interest in end-to-end production data science.

Leads end-to-end business intelligence and reporting for Instacart Business and Health, partnering with GTM leadership and external partners to turn commercial data into scalable insights and growth opportunities. Requires 5+ years in analytics or BI, strong SQL and visualization skills, and experience with B2B or GTM analytics.

Conducts machine learning research for web search by designing transformer architectures, training embedding models, building large-scale datasets, and developing evaluation systems. Requires graduate-level ML experience or exceptional undergraduate ability and strong PyTorch skills.

Leads applied AI innovation for authentication and security products, taking ideas from research through prototypes and production recommendations. The role requires 8+ years in ML or applied research, hands-on delivery of 0-to-1 AI systems, and strong Python, ML, and software engineering skills.

Owns the architecture and operation of a scalable data platform, designing Airflow pipelines, improving reliability and cost efficiency, and leading cross-team technical initiatives. Requires 7+ years of data engineering experience, production container infrastructure expertise, and strong architectural leadership.

Conduct strategic, technically rigorous research to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, including recursive self-improvement. The role combines hypothesis-driven research, rapid prototyping, safety evaluations, monitoring, and institutionalizing effective interventions.

This senior data scientist supports EHR, revenue cycle management, product, and operations decisions through experimentation, predictive analytics, and financial and operational insight. The role requires 7+ years of analytics or data science experience, strong Python or SQL skills, and effective cross-functional partnership.

Develops insight-led narratives for advertisers in Mexico by combining Pinterest first-party data, market research, and commercial context. The role partners with Sales and cross-functional teams, presents recommendations to clients, and requires 4+ years of relevant experience, SQL proficiency, and Spanish-English fluency.

Leads organization-wide AI evaluation and automation programs, establishing quality standards, metrics, production gates, and scalable evaluation infrastructure for LLM and agentic systems. The role requires 8+ years of relevant experience, strong technical systems expertise, and cross-functional leadership.