Computer Scientist

Booz Allen Hamilton • Washington, DC

3d • $99,000 - $225,000

About The Position

Booz Allen is seeking an analytics professional and advanced data scientist/researcher to lead complex data exploration and analytics projects supporting Department of Defense and national security missions. The role evaluates AI methodologies for strategic intelligence and develops expertise in continuous auditing, testing, evaluation, verification, and validation (TEVV), and AI risk mitigation. The successful candidate will guide a team delivering critical missions, helping clients and stakeholders interpret data and turn findings into actionable results. The position may involve improving government efficiency with AI 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. Selected applicants will undergo a security investigation and must meet eligibility requirements for access to classified information. Compensation is projected at $99,000 to $225,000 annually, with the actual salary determined by factors including location, qualifications, experience, and organizational requirements. The posting closes within 90 days of its posting date.

The company describes its benefits as including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Full-time and part-time employees regularly working at least 20 hours per week are eligible for the benefit programs, with select offerings available to some other employees. The job posting does not specify a work location type. Booz Allen notes that remote employees may occasionally need to work at a company or customer facility, hybrid employees are expected to work at a company or customer facility according to leadership expectations and role needs, and onsite employees work primarily full-time at a customer facility. Employees working virtually are generally expected to have cameras on during meetings. Interviews and assessments require candidates to be on camera, and AI assistance during interviews is prohibited unless explicitly permitted.

Requirements

• 8 or more years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
• 5 or more 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 machine learning 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 Intelligence Community 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.
• Bachelor’s degree and 8 or more 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 or more 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 using statistical expertise in support of Department of Defense missions.
• Evaluate AI methodologies and their use in strategic intelligence.
• Contribute to continuous auditing, testing, evaluation, verification, and validation (TEVV), and AI risk mitigation.
• Guide a team delivering critical missions from end to end.
• Build modular and scalable testing libraries using object-oriented and functional programming.
• Build and evaluate advanced analytics outputs and performance, including large language models (LLMs) or agentic AI.
• Communicate complex technical findings through graphical, written, visual, and verbal narrative products.
• Visualize complex data and concepts for non-technical leadership, clearly highlighting system risks and go/no-go criteria.

Benefits

• Health, life, disability, 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