Computer Scientist, Senior

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 artificial 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 methodologies 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 developing 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:  

• 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 or no-go" criteria clearly 

• Active TS/SCI clearance; willingness to take a polygraph exam

• 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, or 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 in lieu of a degree 

Nice If You Have:  

• 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

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 are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and