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dataroles

Data Scientist

Bah Open · verified Oct 21, 2026
Washington Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Bah. Washington · full-time · $77,600–$176,000 base.

SalaryStated by Bah
$77,600 – $176,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BahOur estimate for the market: $124,650–$151,250Median $134,200
The range includes the market median of $134,200 for mid-level data science roles in Washington.
Worked out from 11 postings that stated pay, median $134,200. Last updated Oct 6, 2026.
RoleData Science
SeniorityMid-level
LocationWashington
EmploymentFull-time
Base pay$77,600–$176,000
PostedOct 5, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Explore and clean data, then use analysis and visualization to address client questions
  • Build predictive models and quantitative studies around specific data sources, presenting the results visually
  • Create algorithms and systems for complex programs, guiding teammates through their development
  • Work with clients to clarify their needs and explain what their data reveals

What you bring

  • At least five years using statistical methods and programming languages to analyze data
  • At least five years examining both structured and unstructured information
  • Experience creating predictive models, quantitative studies and visual representations of selected data
  • A bachelor’s degree, plus a record of leading solutions for complex programs
  • You can qualify for and retain a Public Trust or Suitability/Fitness review, depending on client needs

Who this fits

This role suits a data scientist ready to lead technical work, guide teammates and work directly with clients. Hiring involves a government investigation, and client eligibility rules may apply. You must appear on camera for interviews and assessments; AI assistance is barred unless explicitly allowed.

From the employer

Data Scientist

The Opportunity:

As a data scientist, 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). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can 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.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:  

  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis
  • 5+ years of experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Experience with natural language processing, text mining, or machine learning techniques
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor’s degree

Nice If You Have:  

  • Experience with the development of algorithms leveraging R, Python, SQL, or NoSQL
  • Experience with AI models and tools

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.


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 $77,600.00 to $176,000.00 (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$70k+

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.