
Statistician & Mathematician
Washington, DCFull-time$99–225K/yrPosted 4 days agoStill listed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Booz Allen Hamilton seeks an advanced data scientist and researcher for its National Security team to lead complex data exploration and analytics projects supporting DoD and intelligence clients. The role applies statistical methods, AI, and machine learning to sensitive policy decisions and military protection, and contributes to the field through research publications and conference presentations. The position requires extensive experience, a TS/SCI clearance with polygraph, and either a bachelor’s degree with relevant experience or a longer experience-only path.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Statistician & MathematicianThe 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. 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 analytics, data science, AI, or machine learning expertise and consulting mindset, 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 programming languages such as SQL, R, or Python, operationalizing models, containerization, data architecture, and cloud computing platforms for DoW and Intel.
As an advanced data scientist and researcher on our National Security team, you’ll learn and apply innovative AI and machine learning methodologies to make a real-world impact on sensitive policy decisions and protecting our military. You’ll grow your skills in data science, AI, machine learning, operationalization, and predictive modeling and shape the future of analytics through a variety of means like peer-reviewed papers and major conference presentations.
We’ll keep you sharp and moving forward in your career with access to online courses and the latest tools and methods and opportunities to publish or present at conferences.
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
- Experience developing and applying statistical models and methods 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 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 with multi-INT analytics
- Experience evaluating AI system performance, robustness, and fairness
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 with polygraph 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 experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (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. Identity Statement 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.
Candidate AI Usage Policy 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 prohibited unless permission is explicitly provided.
Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
How this job compares
Set against the 4,618 open Data Scientist jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$99–225K/yr
- Washington, D.C. median$113–187K/yr75 salary ranges
- US median$133–210K/yr3,652 salary ranges
This range's midpoint, $162K, is 7% above the Washington, D.C. median midpoint ($151K) — in the middle half of Data Scientist salary ranges in Washington, D.C..
- Openings
- Olive Jobs lists 86 open Data Scientist jobs in Washington, D.C. and 4,618 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington, D.C.
- Deloitte7 open
- PwC7 open
- BOOZ, ALLEN & HAMILTON, INC.6 open
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,010 postings).
- Education
- 2,262 of the 4,618 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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