Top Senior Data Science Jobs in Washington, DC

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

Design and implement AI systems and scalable machine learning models, perform data wrangling and software engineering to deploy AI solutions, interpret data for client recommendations, collaborate across teams, uphold technical standards, and build client relationships while navigating complex, ambiguous problems.

Hands-on Staff Data Scientist to translate ambiguous business problems into production-grade ML solutions. Responsibilities include feature engineering, model development, evaluation, MLOps, deployment, monitoring, experimentation, cross-functional partnership, and technical leadership to scale reproducible data-science practices and deliver measurable business impact.

Lead analytics initiatives to deliver strategic insights for consumer markets. Develop advanced analytics and BI solutions, manage teams, engage stakeholders, implement cloud analytics, and coach diverse teams to improve performance and decision-making.

Apply machine learning and NLP to detect financial crime using SQL and Python. Analyze complex datasets, develop and monitor ML models, mentor junior staff, and translate client needs into analytical solutions while leveraging MLOps, cloud, and containerization.

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.

The role involves using data science skills to extract insights from data, develop algorithms, and create analytics solutions for clients across various sectors, particularly in fraud detection, cancer research, and national intelligence.

As a Senior Data Scientist, you'll analyze complex data to provide insights, develop algorithms, and lead teams to address clients' questions using machine learning and predictive modeling methods.

Collects, explores, and analyzes large datasets to identify business opportunities and improve outcomes. Develops predictive models, machine-learning algorithms, testing frameworks, and data pipelines; evaluates data quality and model performance; and communicates actionable insights to stakeholders and clients. The role also manages data science projects, establishes reporting best practices, and collaborates with cross-functional teams to implement and monitor solutions.

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.

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.

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.

Lead and architect enterprise-scale multi-INT data science solutions: build and deploy ML models, pipelines, and recommendation systems; advise customers on data constraints; review models and code for rigor; mentor and technically lead mid-level data scientists; evangelize reproducible best practices.

Support Defense Intelligence analysts by building data pipelines, ML models, and analytics for multi‑INT data. Perform data engineering, mining, predictive analysis, and deliver visualizations. Use Python, R, SQL, Power BI, and Tableau. Work requires active TS/SCI clearance and 8+ years of data science experience.

Senior full‑stack developer role to design, build, and lead web applications and backend services. Work with clients to define requirements, implement frontend and backend solutions, integrate databases and RESTful APIs, and support CI/CD, testing, and deployment. Mentor teammates and drive delivery across microservices and enterprise applications in a collaborative environment.

Lead design and oversight of end-to-end geospatial data science and remote sensing workflows; translate scientific questions into reproducible methods; validate and document analyses; mentor technical staff; guide model development, quality control, and delivery for environmental and conservation applications.

Lead development of advanced analytics and AI/ML solutions (including LLMs/agentic AI) for classified clients. Guide teammates, translate complex data into visual and narrative deliverables, evaluate model performance, and advise leadership on risks and decision criteria.

Build and lead full‑stack web applications: design and implement front-end and back-end services, RESTful APIs, and relational databases; maintain CI/CD pipelines, automated testing, and observability; work with clients, mentor teammates, and deliver Agile software solutions. Requires TS/SCI with polygraph.

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.

Work with clients to analyze structured and unstructured data, perform data cleaning and exploration, develop predictive models and NLP/text-mining solutions, visualize results, and mentor teams. Serve as a technical leader identifying data-driven opportunities and translating insights into actionable recommendations. Requires ability to obtain Secret clearance.

Perform advanced data science for Army NC4SI: develop ML models (ensembles, neural nets, LLM vectorization), design/optimize Army Vantage environments, integrate and deploy APIs and automated data pipelines across Army/DOD platforms, analyze complex datasets, ensure data architecture, security, and compliance in DOD cloud environments, and collaborate with military and technical teams.

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.

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.