Top Data Science Jobs

Develop data science algorithms and software for national security research, collaborating with scientists and engineers on machine learning, NLP, graph analysis, data integration, visualization, scalable computing, and knowledge discovery. Translate sponsor requirements into practical solutions, integrate software components, analyze data, and communicate technical recommendations. Higher-level responsibilities include solving complex problems, managing concurrent priorities, and applying advanced machine learning methods.

Develops Palantir Foundry solutions, pipelines, Ontology objects, Workshop applications, dashboards, analytical models, and AI-enabled workflows. Partners with business stakeholders to gather requirements, transform operational processes into scalable data products, validate and troubleshoot data, and deliver solutions from concept through deployment. Requires independent project ownership, strong communication, documentation, data governance, SQL, Python, and data modeling skills.

Leads the data strategy and a team of data scientists within personal financial services. Oversees data acquisition, integration, modeling, predictive analytics, automation, dashboards, and data solution quality. Partners with business stakeholders to deliver strategic insights, forecasts, and customer-focused recommendations. Presents complex findings to senior management and mentors team members in machine learning, AI, statistical modeling, and professional skills. Requires 8–10 years of data science experience, including at least three years in leadership.

Develop and evaluate Python-based machine learning models using time-series telemetry and operational data. Responsibilities include data exploration, feature engineering, NLP, probabilistic and physics-informed modeling, anomaly detection, forecasting, validation, documentation, and production deployment. Collaborate with engineering, visualization, and program teams to integrate models into dashboards and decision-support tools. The role supports DoD customers and requires U.S. citizenship plus eligibility for a security clearance.

Build AI-powered solutions for sales and marketing productivity, including LLM agents, NLP and Generative AI applications, recommendation systems, prompt and retrieval optimization, and agentic workflows. Prototype and evaluate AI capabilities, transition successful pilots into production, and collaborate with product managers, engineers, data scientists, and business stakeholders to deliver scalable solutions and measurable business outcomes.

Develop predictive models and algorithms, analyze complex data patterns, create automated reports and dashboards, and communicate actionable insights to stakeholders. Responsibilities include data extraction, programming, modeling, trend analysis, visualization, technical writing, and collaboration. The role works under close supervision with limited discretion and increasing assignment complexity.

Build and own marketing measurement, experimentation, attribution, dashboards, and insights across paid, influencer, UGC, and lifecycle channels. Analyze CAC, ROAS, payback, cohorts, LTV, campaign performance, and incrementality. Debug tracking gaps, develop attribution taxonomies and instrumentation, run tests, and translate findings into clear recommendations for marketing, product, data, and finance leaders.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

The Associate Data Scientist partners with clinical and operational teams to prepare and transform data, develop predictive models, apply statistical and AI techniques, and create actionable insights. Responsibilities include feature engineering, model optimization, data visualization, dashboards, stakeholder presentations, risk management, and Agile collaboration to improve patient care, hospital operations, and organizational outcomes.

Develop predictive models, algorithms, quantitative analyses, and visualizations from structured and unstructured data. Lead complex data science solutions using R, Python, SQL, NoSQL, machine learning, NLP, and text-mining techniques. Collaborate with Marine Corps analysis stakeholders to translate data into actionable insights and decision support. Guide teammates and work across data-rich environments to address public-sector challenges.

Develop automated data ingestion, ETL, transformation, and processing workflows for Missile Defense Agency ground test analytics. Build Tableau dashboards and visual analytics products, integrate diverse data sources, and collaborate with engineering and analysis teams. Apply Python, SQL, Alteryx, software development practices, and emerging AI/ML capabilities to deliver scalable data solutions. The role is onsite in Huntsville, supports DoD engineering programs, and requires the ability to obtain a Secret clearance.

Conduct machine learning and data science research for RNA and LNP design. Build sequence-function and QSAR models, analyze molecular and sequence libraries, apply Bayesian optimization and active learning, and develop ML-powered systems using biological assay data. Collaborate with experimental scientists, engineers, data scientists, and software developers to support therapeutic discovery, reproducibility, and research innovation.

Lead data science efforts to inform product and business strategy through quantitative analysis, experimentation, forecasting, and storytelling. Partner with cross-functional teams to define hypotheses, measure impact, influence roadmaps, present insights to senior leadership, and monitor key product metrics to drive value.

Lead web and marketing analytics: define tracking specs, implement and validate scalable tracking, join web and game data, build dashboards and reports, deliver campaign-level insights, measure feature effectiveness, and partner with stakeholders to make data actionable.

Develops end-to-end data science and analytics solutions for DoD mission environments. Responsibilities include ingesting and transforming structured and unstructured data, creating ETL pipelines, querying SQL databases, performing statistical and predictive analysis, building Power BI dashboards, integrating APIs and enterprise systems, improving data quality, automating workflows, and communicating insights to stakeholders. The role also supports data architecture, testing, documentation, and compliance with cybersecurity and DoD data-handling requirements.

Serve as a senior analytics partner for consumer product experiences, owning experimentation, business analytics, and data to inform product roadmaps. Lead exploratory analyses, design multivariate tests, define success metrics, improve tracking and data quality, and build self-service AI-enabled reporting to surface insights about consumer behavior, content engagement, and media quality that drive product and business decisions.

Develop and deploy advanced AI and machine learning solutions for semiconductor simulations, manufacturing, packaging, reliability, and EDA. Build physics-informed, hybrid, surrogate, and generative models using experimental and simulation data. Apply deep learning, graph neural networks, neural operators, and foundation models, while collaborating across technical teams to productionize research. Lead innovation through patents, publications, and technical leadership.

Develop and scale statistical and machine learning models to evaluate business scenarios and reduce uncertainty. Build collaborative, deployment-ready code; advise technology teams on methodology; translate finance and business problems into analytical questions; communicate findings to stakeholders; mentor junior data scientists; and support model productionization and analytics transformation.

Work as a healthcare data scientist/consultant delivering statistical analysis, predictive modeling, BI reporting, and data visualization for clients. Independently manage projects and client relationships, using R, SAS, SPSS, Cognos, and BusinessObjects. Report to the Senior Consultant.

Consulting role performing statistical analysis, predictive modeling, BI reporting, and data visualization for healthcare clients. Independently manage projects and maintain client relationships while reporting to a Senior Consultant.

Serve as a healthcare data scientist/consultant performing statistical analysis, predictive modeling, BI/reporting, and data visualization using R/SAS/SPSS and BI tools. Work independently on client projects, maintain client relationships, and report to the Senior Consultant.

Perform healthcare analytics and predictive modeling using statistical tools; develop business reports and visualizations; use R, SAS, SPSS, Cognos, and BusinessObjects; work independently on projects and maintain client relationships while reporting to a Senior Consultant.

Serve as a healthcare data science consultant, independently leading projects and client relationships. Use statistical tools, predictive modeling, BI/reporting, and data visualization (R, SAS, SPSS, Cognos, Business Objects) to deliver analytic insights for healthcare clients, reporting to a Senior Consultant.

Perform end-to-end data science for underwriting, auto-quoting, and sales analytics: detect emerging risks, quantify data blind spots, build multi-signal models and confidence scoring, measure algorithmic impact on sales, and maintain ingestion and pipeline data quality and monitoring.

Design, develop, and operationalize Python-based analytic pipelines and interactive dashboards integrating structured and unstructured data to support DoD/IC missions. Modernize legacy workflows for scalability and reproducibility, lead analysis and automated processes, and serve as a senior SME coordinating with clients on data-driven solutions in high-consequence environments.