Top Data Science Jobs in Washington, DC

Develop and lead data science solutions: build ETL pipelines, clean and model structured/unstructured data, design algorithms and automated analytics, produce visualizations, use ML methods, collaborate with clients and mentor teammates to turn data into actionable insights for government and commercial problems.

Build and deploy credit risk models for acquisition and account management. Create datasets and features from traditional and non-traditional sources, collaborate with credit, product, and engineering partners, run experiments, and monitor models in production to enable responsible lending decisions.

As a Lead Data Scientist, you will analyze complex data sets, mentor a team, develop predictive models, and lead data science solutions for clients on global challenges across various sectors.

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, lead teammates, and deliver analytic products for intelligence and commercial clients while maintaining classified clearance requirements.

Work with clients to analyze large, structured and unstructured data sets, build ETL pipelines, develop machine learning models and automated analytic software, produce visualizations, guide teammates, and translate insights into actionable recommendations for public- and private-sector problems.

The Data Scientist will analyze complex datasets, develop models and dashboards, and provide insights to support decision-making for clients.

Provide advanced data science and analytics to support audits, inspections, evaluations, and investigations for a U.S. government agency. Tasks include data acquisition, cleaning, entity resolution, statistical and fraud-risk analysis, dashboard and visualization development, investigative link and timeline analysis, reporting for audits and prosecutions, and supporting data governance, reproducibility, and training for government personnel.

Apply advanced analytics, statistical modeling, and machine learning to intelligence data. Develop predictive models, perform exploratory analysis on structured and unstructured data, collaborate with analysts and mission partners, and present findings via visualizations and reports using Python or R and common data science tools.

As an Asymmetric Threat Data Scientist, you'll analyze various criminal data to generate leads and conduct network analysis to support national security.

Lead data science engagements: work with clients to define problems, build ETL pipelines, develop machine learning models and algorithms, create visualizations, guide teammates, and deploy analytic solutions to inform decision-making across classified and unclassified environments.

Design and implement data science solutions: build ETL pipelines, clean and model structured/unstructured data, develop predictive and ML algorithms, create visualizations, lead teammates, and communicate insights to clients. Work often involves classified intelligence data and integration of FOSS/COTS tools.

Design and run rigorous fairness and bias evaluations for AI-assisted People systems across the employee lifecycle. Build scalable testing infrastructure, conduct subgroup and intersectional analyses, investigate disparity sources, recommend mitigations, and translate results for technical and executive stakeholders. Partner with cross-functional teams to establish documentation, monitoring, and validation standards for high-impact human-AI decision systems.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

Use data exploration, cleaning, modeling, and visualization to turn structured and unstructured IoT and other data into actionable insights. Develop predictive models, algorithms, and visualizations, work directly with clients, and apply ML/AI/NLP techniques to solve problems across public and private sectors.

Perform data exploration, cleaning, analysis, and visualization; develop predictive models and algorithms on structured and unstructured data; apply ML/AI/NLP techniques to deliver client-facing solutions. TS/SCI clearance required.

The Data Scientist will assess technical practices, perform data analysis, cleansing, and prepare agency performance metrics using various data tools and technologies.

The Senior Database Architect analyzes and designs data solutions for enterprise reporting and operational decision-making, collaborating with various technical teams.

Seeking a Data Scientist with 5+ years experience to develop and fine-tune AI/ML solutions, focusing on large language models. Collaborate with engineering teams to deploy robust models in production while applying modern techniques.

Lead design and implementation of Palantir Foundry–based data collection and analytics for USAF Mission Assurance. Design user interfaces, build and scale AI/ML models and data workflows, integrate with DoD/AF systems, produce decision-relevant analytics, maintain platforms, and provide documentation and training.

Lead the development of AI solutions and systems to improve healthcare outcomes, managing data science strategies and collaborating with engineering teams.

Lead design and execution of claims-based RWE and HEOR analyses using Medicare/Medicaid/commercial data. Develop and validate SAS programs, build reproducible analytic pipelines, synthesize findings for payer strategy and policy, mentor junior staff, and support client-ready deliverables and proposals.

Design, build, and optimize generative AI, RAG, and agentic RAG systems for drafting, search, and reasoning. Improve LLM outputs via prompt design, retrieval optimization, embeddings, reranking, and evaluation. Develop production-grade ML components and retrieval pipelines using OpenSearch/Solr, write maintainable Python code, and collaborate with engineering, product, and domain teams to improve relevance, accuracy, and user trust.

The Lead Data Scientist will drive AI innovation, manage data science strategies, build AI systems, and collaborate on scalable AI solutions for healthcare delivery.

Seeking a Senior Data Scientist to design, code, and improve models and algorithms, evaluate decision systems, and partner with teams to translate data into impactful behaviors.

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.