Top Senior Data Science Jobs in Washington, DC

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

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.

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.

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.

Lead client-facing data science projects: develop and deploy ML/AI models, perform big-data analysis, feature engineering, predictive modeling, geospatial/signal/time-series analysis, mentor teammates, and translate data insights into actionable recommendations. Work often involves cloud environments and requires security clearance.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients using machine learning and statistical methods. You'll lead projects, collaborate with teams, and apply data visualization to solve global challenges.

Design and implement ML and predictive analytics solutions on multi-INT datasets. Retrieve, merge, and analyze structured and unstructured data, build AI/ML tools, and produce visual and written analytic products for defense customers. Support database administration, data engineering, and deliverables in a classified, mission-driven environment.

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

Lead development of data science solutions by analyzing structured and unstructured data, building ML/NLP models, querying large datasets, and creating visualizations and intelligence reports. Work with clients to define problems, guide teammates, and translate results into actionable recommendations. Leverage document and graph databases, Python, SQL, and BI tools to deliver dashboards and written assessments for classified government and commercial projects.

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.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Develop and validate machine learning and advanced analytics solutions: prepare data, engineer features, train and evaluate models, integrate outputs into dashboards or workflows, collaborate with stakeholders, and communicate results to technical and non-technical audiences.

The Data Scientist III will enhance cybersecurity operations using data science and machine learning techniques, developing analytical models, and integrating data from various sources to improve threat detection and monitoring.

As a Data Scientist focused on policy, you'll analyze data to inform policy discussions, support partnerships, and measure impact on public perception. You'll collaborate cross-functionally to create clear evidence and frameworks for AI policy communications.

Collect, integrate, and prepare data from multiple sources; design data models, predictive algorithms, and ML solutions; build dashboards and visualizations; ensure data quality and support analytics for FBI financial management, client delivery, and business development.

Join AIS supporting a federal client in the DMV to develop, train, and deploy AI/ML models from ideation to production. Use Python and common data-science libraries, work with database systems, collaborate on hybrid teams, and meet security clearance requirements.

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.

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 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.

Lead development and delivery of predictive models and analytics for national security. Perform data collection, feature engineering, EDA, supervised/unsupervised modeling, entity resolution, text analytics, and operationalize production-ready decision-support tools while briefing stakeholders.

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.

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.

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.

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.