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Data Scientist

Job in Chantilly, Fairfax County, Virginia, 20151, USA
Listing for: Booz Allen Hamilton
Full Time, Part Time position
Listed on 2026-10-29
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can 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 a seasoned data scientist like 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 and mentor your team as you oversee 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.

As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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 in a data science field in a professional work environment5+ years of experience in working with machine learning, data mining, statistical modeling, and algorithm development5+ years of experience developing, deploying, and maintaining GenSI models in production environments

Experience building persistent monitoring and alerting applications for statistical or ML processes using SQL, Python, or RAbility to analyze complex dataset and create of data-driven visualizations that support decision making, and deliver clear reports and present analytical findings to technical and non-technical audiences

Ability to guide team members and communicate project status and risks

Ability to mentor junior data scientists, review work, support project planning, and uphold model development best practices

Ability to work independently while coordinating as part of the larger data teamTS/SCI clearance with polygraph

Bachelor's degree in a Computer Science, Statistics, Data Science, or Mathematics field

Nice If You Have:

Experience with AgenticSIExperience with Snowflake, Redshift, or similar

Experience with Tableau and SQL Experience leading small analytical teams or acting as project technical lead Possession of excellent communication and collaboration skills

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…
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