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dataroles

Statistician & Mathematician

Bah Open
Washington Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Bah. Washington · full-time · $99,000–$225,000 base.

SalaryStated by Bah
$99,000 – $225,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BahOur estimate for the market: $120,000–$145,000Median $129,600
The range includes the market median of $129,600 for mid-level data science roles in Washington.
Worked out from 13 postings that stated pay, median $129,600. Last updated Nov 6, 2026.
RoleData Science
SeniorityMid-level
LocationWashington
EmploymentFull-time
Base pay$99,000–$225,000
PostedNov 6, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Explore complex datasets and turn technical results into clear visual, written and spoken explanations
  • Build and apply statistical methods to assess data and support client decisions
  • Use programming, model deployment, containerization, data architecture and cloud platforms on analytics projects
  • Apply AI and machine learning approaches to predictive modeling and sensitive policy questions
  • Share research through peer-reviewed publications and major conference presentations

What you bring

  • At least eight years translating complex technical findings into graphical, written, visual and verbal products
  • Experience creating and using statistical models and methods to evaluate data
  • Background supporting DoD or intelligence clients and working on classified networks
  • An active TS/SCI clearance with polygraph
  • A bachelor's degree plus eight years using scientific methods, or twelve years of that experience without a degree

Who this fits

This role suits an experienced statistician or data scientist who can work independently and explain complex findings to clients and stakeholders. You’ll apply analytics and AI methods in support of defense and intelligence work, including sensitive policy decisions. A TS/SCI clearance with polygraph is required.

From the employer

Statistician & Mathematician

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. 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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$90k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.