Top Data Science Jobs

The Lead Data Scientist will lead AI solution development for National Security by driving projects, mentoring teams, and enhancing systems with advanced simulation and optimization techniques.

Lead product and program analytics for Microsoft skilling experiences: design learner journey/funnel analyses, define success metrics, run experiments and causal analyses, build proficiency/competency models, shape telemetry and scalable reporting, recommend content and curriculum improvements, and mentor other data scientists to drive product decisions and learning outcomes.

Lead product and program analytics for Microsoft skilling experiences. Design funnel and learner-journey analyses, define success metrics, build measurement frameworks, run experiments and causal analyses, develop competency/skill models, partner with product and engineering on telemetry, recommend content and curriculum improvements, mentor data scientists, and ensure data privacy and telemetry quality.

Lead advanced statistical modeling and analytics for healthcare/public-sector clients. Define analytical approaches, build and productionize ML models, oversee ETL/ELT pipelines, ensure data governance for sensitive datasets, and translate results for non-technical stakeholders while consulting directly with government clients.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

Design, evaluate experiments, conduct research, and build predictive and causal models and marketplace optimization algorithms. Translate analyses into actionable insights, consult with teams on model performance, and communicate results via visualization and reporting.

Lead product-focused analyses and experiments to grow subscription product (Robinhood Gold). Identify target customers, design and analyze experiments, partner with Product/Marketing/Finance, and measure business impact to drive signups and retention.

Partner with PMs, designers, and engineers to build dashboards, define metrics, quantify opportunities, and run A/B tests and causal analyses. Measure impact of features, support personalization/ranking/incentive initiatives, and produce clear data-driven recommendations for product and leadership.

Lead end-to-end data science work: exploratory and statistical analysis, data engineering, ML model development (recommendation engines, predictive systems), data visualization (Power BI, Tableau), and multi-int large-data analytics to support defense programs and produce actionable intelligence products.

The Lead Data Scientist will leverage advanced data science techniques to extract insights from complex datasets, guide AI/ML product implementation, and ensure compliance with ethical standards. Responsibilities include developing models, managing analytics transitions, and leading collaboration with stakeholders.

Design and build predictive models, AI tools, and data visualizations for CMS healthcare initiatives. Analyze quantitative and qualitative data (Medicare claims, public datasets, web analytics), perform feature engineering, anomaly detection, and provide insights to support product design and price-transparency tools. Collaborate with designers, product owners, and engineers in an agile environment.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

Lead product analytics for Handshake's recruiting marketplace: define metrics, own analytics strategy, run experiments, evaluate ML models, perform cohort and funnel analyses, build dashboards, and partner with product, engineering, and analytics engineering to drive data-informed growth and pricing decisions.

Activate and operationalize clinical data for analytics by designing data models, taxonomies, and a clinical feature store; build reusable data assets, documentation, and dashboards; ensure data quality and compliance; partner with stakeholders and data engineering to enable downstream analysts, data scientists, and business users.

Design and validate statistically defensible data-quality metrics and gap-filling methods for very large, multi-source datasets; benchmark against reference data; specify ingestion and checks; partner with SMEs and engineers to operationalize metrics at scale while preserving privacy and governance.

Lead cross-functional analytics for MSN & Copilot Discover to drive engagement and revenue. Build forecasting, scenario-planning, and ML solutions, evaluate UX/monetization tradeoffs, inform product and monetization strategy, and communicate insights to senior stakeholders to influence investments and business outcomes.

Lead data science support for investigations and litigation: identify, collect, and analyze business data to detect violations, calculate damages and penalties, advise investigators and attorneys, automate data collection/analysis systems, and support agency research and policy recommendations.

Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.

Seeking a Senior Data Scientist to provide technical expertise for a U.S. Government customer, focusing on data analytics and signals analysis.

The Principal Data Scientist will lead the design of knowledge graph infrastructure in Immunology, standardizing and integrating extensive biomedical data for cross-functional analytics and insights. Responsibilities include data modeling, ontology curation, and collaborating with various scientific teams.

Build and maintain large commercial datasets and predictive/forecasting models (BigQuery, dbt, SQL, Python). Design causal and experimental analyses to measure promotion impact and price elasticity. Partner with commercial, finance, and executive stakeholders to inform pricing, distribution, and investment. Deploy LLMs and AI agents to classify unstructured data and build tools that democratize data access.

Embedded on a core business team, own analytics end-to-end: define problems, design metrics and experiments, pull and analyze data, build reports, surface insights, and drive measurable outcomes by recommending and influencing product, growth, and operations decisions.

Embed within a core business area to define problems, build metrics, run analyses and experiments, create reports, and drive data-driven recommendations to improve product, growth, AI/automation, or partnerships outcomes.

Lead technical data science efforts for VA clinical and operational analytics: build and validate ML models, integrate EHR/CDW data, ensure VA governance compliance, produce dashboards and visualizations, and support Agile delivery to translate insights into operational improvements.

Lead data science efforts for the Program Management Office: optimize and secure SQL databases, build and manage ETL pipelines, create BI dashboards in Tableau/Power BI, automate processes with Python and Airflow, use GitLab in Agile workflows, and perform statistical analysis and data mining to surface trends and insights.