Analytic Methodologist, Senior

Job Number: R0246524 Analytic Methodologist, Senior

The Opportunity:

In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a statistician and mathematician at Booz Allen, you can use applicable skills to help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

• 8+ 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 in support of DoW or IC clients
• Ability to work independently with minimal oversight and direction
• 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

• Experience reviewing and evaluating technical documentation for compliance with applicable standards
• Experience developing and executing Testing, Evaluation, Verification, and Validation procedures or evaluating AI system performance, robustness, and fairness
• Experience with AI governance
• Ability to work a non-standard or shift schedule
• TS/SCI clearance with a polygraph

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.

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 experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.

This posting will close within 90 days from the Posting Date.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in‑person or virtual) is…