Computer Scientist, Senior
Booz Allen Hamilton
- Location
- Washington, DC
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 9 approvals (FY2023)
- Posted
- Aug 13, 2026
Skills
About this role
Computer Scientist, Senior The Opportunity: As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence ( AI ) . If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense. As an advanced data scientist and researcher on our national security team, you’ll evaluate AI met hodologies to make a real-world impact on AI usage in strategic intelligence. You’ll grow your skills in continuous auditing, testing, evaluation, verification, and validation ( TEVV ) and AI risk mitigation to shape the future of analytics through a variety of means. We’ll keep you sharp and moving forward in your career with access to online courses and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or develop ing new TEVV procedures, you’ll guide a team that serves critical missions from end to end. Join us. The world can’t wait. You Have: 12+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products 5+ years of experience using data science programming languages such as Python or R Experience with version control tools, including git, GitLab, GitHub, or Bitbucket Experience leveraging mathematics, statistics, and data mining algorithms to analyze performance, proactively identify quality risks, and drive continuous process improvement Ability to continuously review, evaluate, and update technical documentation to ensure alignment with evolving governance and program standards Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree and 17+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, Master's degree and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 21+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree Nice If You Have: Experience providing best-practice recommendations on managing data within hardware, sof tware, and bandwidth constraints Experience with modeling and simulation Experience evaluating AI system performance, robustness, and fairness Ability to work a non-standard or shift schedule TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold