Top Data Science Jobs

Lead marketing measurement and optimization by building statistical and ML models (propensity, forecasting, LTV), attribution methods, and causal inference analyses. Design experiments, automate ETL and reporting pipelines, create dashboards, and translate insights into strategic recommendations to drive advertiser acquisition, retention, and revenue growth.

Lead design and implementation of end-to-end data science architectures for multi‑INT geospatial intelligence. Build production Python pipelines, apply ML, network analytics, and advanced spatial techniques, create interactive visualizations and dashboards, mentor team members, liaise with stakeholders, and produce mission-ready intelligence products adhering to IC standards.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.

Lead development and deployment of predictive, risk-scoring, and optimization models for behavioral health using claims and clinical data. Define data science infrastructure, perform deep analytics, translate models into client-facing impact and dashboards, and lead cross-functional product and client engagements.

Lead and deliver complex data science and engineering projects: design data models and scalable pipelines, build and productionize statistical and ML models (Python/R), perform data integration and quality work, generate actionable insights for executive stakeholders, and provide domain leadership in Payment Integrity/FWA.

Lead product-facing analytics for creative systems, define measurement frameworks, design experiments, drive product roadmap decisions, build monitoring and diagnostics, and partner with ML, Product, and Engineering to improve creative performance and advertiser outcomes.

Hands-on senior data scientist splitting work between SQL Server data engineering (ETL, pipeline modernization, data quality) and analytics delivery (Power BI semantic models, dashboards, statistical and predictive modeling). Duties include designing migration options, implementing Python-based cleansing and reproducible analytics, building ETL/deployment processes, responding to ad hoc leadership data requests, and documenting systems for stakeholders. Must obtain VA background/PIV and be a U.S. citizen.

The Senior Data Scientist will design and deploy scalable ML solutions, develop NLP systems, and oversee the ML lifecycle while collaborating with cross-functional teams and mentoring others.

Lead data science and analytics efforts for a DoD client: architect and implement data analytics solutions, collect and normalize complex data, build Power BI dashboards and predictive models, document data quality, and present findings. Work closely with stakeholders and support on-site delivery in Quantico and Stafford, VA.

Lead Data Scientist will support advanced analytics, predictive modeling, and machine learning initiatives for clinical decision-making in healthcare. Responsibilities include algorithm design and compliance with VA governance standards.

The Data Product Scientist will analyze data, build machine learning models, translate business needs into data questions, and develop scalable data products. Responsibilities include training users, creating documentation, and ensuring effective communication across teams.

The Senior Data Product Scientist will lead data science initiatives, build scalable data products, mentor team members, and translate complex data insights into business recommendations.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The role involves building and validating Marketing Mix Models and geo-experiments, managing measurement infrastructure, and communicating insights to stakeholders.

Lead product-focused analyses across growth, retention, creator and economy verticals. Define metrics and experiments, analyze user and creator behavior, build dashboards and reusable analytical assets, use AI-assisted workflows to accelerate analysis, collaborate with engineering to improve data quality, and communicate insights to influence product decisions.

The Lead Data Scientist will oversee AI projects, mentor engineers, and develop systems for knowledge retrieval and analysis in defense. Responsibilities include guiding technical strategy, collaborating across teams, and championing AI innovations.

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 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.

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.

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.