Data Scientist
Please note: This role is contingent upon a contract award.
Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.
We are seeking a Senior Data Scientist to support federal government trade, analytics, and mission transformation priorities by leading the design, development, validation, and deployment of advanced analytical solutions. This role will support complex mission and operational questions by applying machine learning, statistical modeling, data mining, entity resolution, risk modeling, network analysis, cohort analysis, and data visualization techniques across large and complex data environments.
The ideal candidate brings deep technical expertise in applied data science, strong experience leading analytical projects from ambiguous requirements through deployed products, and the ability to communicate complex analytical methods and findings to senior government stakeholders, technical teams, and mission users. This role requires a hands-on technical leader who can evaluate feasibility, guide project teams, develop analytical methods, validate models, and ensure analytical results are actionable, reliable, and mission-relevant .
Location
This role will primarily support work in the Washington, DC Metro area, with work expected at or near the client site in Ashburn, VA as required by the contract. Telework may be permitted only with prior government approval.
Security Requirement
Must be a U.S. Citizen with a recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance, and must be able to obtain and maintain a CBP background investigation or other required government suitability determination.
What You Will Do
Lead the technical direction of data science and analytical projects, including project planning, development schedules, task assignments, and delivery of deployed analytical products
Apply knowledge of current and emerging technologies, analytical methods, and data science practices to identify , design, and develop project plans and technical approaches
Conceptualize research problems, design and conduct analytical studies, interpret results, and translate findings into theoretical and practical applications for mission users
Develop analytical and computational techniques and methods for problem solving across complex, high-volume data environments
Create, test, and validate data mining methods, machine learning models, statistical models, and other advanced analytical solutions
Design and evaluate models for entity resolution, risk-based analysis, entity behavior over time, network analysis, cohort analysis, anomaly detection, and related business needs
Lead development teams using Agile methodologies from initial requirements analysis through development, testing, deployment, troubleshooting, and operational support
Posted July 27, 2026