Statistician & Mathematician

Booz Allen Hamilton • Washington, DC

2d • $99,000 - $225,000 • Onsite

About The Position

As an advanced data scientist and researcher on Booz Allen’s National Security team, the Statistician & Mathematician applies analytics, data science, AI, and machine learning expertise to complex projects supporting Department of War and Intelligence Community clients. The role involves exploring data, developing and applying statistical methods, operationalizing models, and translating technical findings into actionable insights for clients and stakeholders. The work can inform sensitive policy decisions and support military protection.

The role offers opportunities to learn and apply innovative AI and machine learning methodologies, grow expertise in predictive modeling and model operationalization, and shape analytics through peer-reviewed publications and conference presentations. Employees have access to online courses, current tools, and professional development opportunities. The position is not listed as remote and is associated with Washington, DC, with an additional location in McLean, Virginia.

Requirements

• 8 or more years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
• Experience developing and applying statistical models and methods to evaluate data.
• Experience working on classified networks and supporting DoD or Intelligence Community clients.
• Ability to work independently with minimal oversight and direction.
• TS/SCI clearance with a polygraph.
• A 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 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 with multi-INT analytics.
• Experience evaluating AI system performance, robustness, and fairness.

Responsibilities

• Lead complex data exploration and analytics projects.
• Develop and apply statistical models and methods to evaluate data.
• Correlate complex technical findings into graphical, written, visual, and verbal narrative products.
• Apply AI and machine learning methodologies to support national security work and sensitive policy decisions.
• Operationalize models and contribute to predictive modeling and analytics projects.
• Work independently with minimal oversight and direction.
• Contribute to peer-reviewed papers and major conference presentations.

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