Top Data Science Jobs

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 healthcare-focused data science projects from concept to deployment. Develop and deploy advanced ML, NLP, and generative AI models using Python and GCP (Vertex AI, BigQuery, Dataflow). Collaborate with clinicians, present findings to stakeholders, mentor junior data scientists, and ensure team follows AI/data science best practices.

Design and analyze experiments (A/B and observational), apply causal inference and statistical methods, develop and deploy ML models, evaluate LLM/AI solutions, define metrics and measurement frameworks, partner with engineering/product teams, and communicate findings via data storytelling and visualizations.

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.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

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 large-scale data mining, modeling, and machine learning efforts to generate actionable insights that mitigate risk and improve customer experience. Build dashboards and reports (Tableau/Looker), ensure data quality, and partner with stakeholders to operationalize analytics and track key business metrics.

Lead development and deployment of advanced data science models for PayPal's SMB portfolio. Analyze and transform data to produce insights, establish cause-and-effect, run sensitivity and A/B tests, monitor credit exposure, tune business rules via decision engines, and present clear visualizations to stakeholders to drive risk and growth decisions.

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 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.