Senior Data Scientist & Mathematician (National Security)

Booz Allen; Washington (District of Columbia); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Life benefits

Disability benefits

Financial benefits

Retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Job summary

Booz Allen in Washington, DC is seeking an experienced Statistician & Mathematician to lead advanced data exploration and analytics projects. You will apply statistical models, ML methods, and data science techniques on DoD/IC-relevant datasets to produce actionable insights for policy decisions.

The role emphasizes independence, strong programming skills (SQL, R, Python), and the ability to operate in classified environments while contributing to innovative AI initiatives and peer-reviewed work.

Qualifications

• 8+ years of experience correlating complex technical findings into narrative products.
• Experience developing and applying statistical models to evaluate data.
• Experience working on classified networks and in support of DoD or IC clients.
• Ability to work independently with minimal oversight and direction.
• TS/SCI clearance with a polygraph.
• Bachelor's degree and 8+ years of experience with mathematics, statistics, AI, ML, data mining, or data warehousing.
• 12+ years of experience with the same techniques in lieu of a degree.

Responsibilities

• Lead complex data exploration and analytics projects using SQL, R, and Python.
• Operationalize models and apply AI/ML methodologies to real-world policy decisions.
• Communicate insights through visuals, reports, and briefings to stakeholders.

Skills

SQL

R

Python

Data analysis

Statistical modeling

AI/ML

Education

Bachelor's degree

Tools

Docker

Cloud platforms

Job description

Booz Allen in Washington, DC is seeking an experienced Statistician & Mathematician to lead advanced data exploration and analytics projects. You will apply statistical models, ML methods, and data science techniques on DoD/IC-relevant datasets to produce actionable insights for policy decisions.

The role emphasizes independence, strong programming skills (SQL, R, Python), and the ability to operate in classified environments while contributing to innovative AI initiatives and peer-reviewed work.