Computer Scientist

Booz Allen Hamilton • McLean, DC

1d • $99,000 - $225,000

About The Position

As an advanced data scientist and researcher on Booz Allen’s national security team, the Computer Scientist leads complex data exploration and analytics projects supporting Department of Defense missions. The role evaluates AI methodologies and applies data science expertise to strategic intelligence, helping clients and stakeholders interpret data and achieve actionable results. Work includes advancing continuous auditing, testing, evaluation, verification, and validation (TEVV), and mitigating AI risks. The position may guide a team serving critical missions and contribute to improving government efficiency or developing new TEVV procedures. Booz Allen offers access to online courses and opportunities to publish or present at conferences.

Applicants must hold an active TS/SCI clearance and be willing to take a polygraph exam. The role requires a bachelor’s degree and at least eight years of relevant scientific-technique experience, or 12 years of such experience in lieu of a degree. The projected annual compensation range is $99,000 to $225,000.

Requirements

• 8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
• 5+ years of experience with object-oriented programming (OOP) and functional programming to build modular and scalable testing libraries.
• Experience with CI/CD pipelines, including AI or ML validation.
• Experience building and evaluating outputs and performance of advanced analytics, including LLMs or agentic AI.
• Experience working on classified networks in support of DoD or IC clients.
• Ability to work independently with minimal oversight and direction.
• Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and go/no-go criteria clearly.
• Active TS/SCI clearance and willingness to take a polygraph exam; TS/SCI clearance is required.
• Bachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing; alternatively, 12+ years of experience with these scientific techniques in lieu of a degree.

Nice To Haves

• Experience reviewing and evaluating technical documentation for compliance with applicable standards.
• Experience developing and executing TEVV procedures.
• Experience evaluating AI system performance, robustness, and fairness.
• TS/SCI clearance with a polygraph.

Responsibilities

• Lead complex data exploration and analytics projects.
• Evaluate AI methodologies for use in strategic intelligence.
• Build modular and scalable testing libraries using object-oriented and functional programming.
• Build and evaluate outputs and performance of advanced analytics, including LLMs or agentic AI.
• Visualize complex data and concepts for non-technical leadership, clearly highlighting system risks and go/no-go criteria.
• Guide a team supporting critical missions from end to end.
• Develop or apply continuous auditing, testing, evaluation, verification, and validation (TEVV) procedures and AI risk mitigation approaches.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior