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Data Scientist, Lead

Job in Lexington Park, St. Mary's County, Maryland, 20653, USA
Listing for: Booz Allen Hamilton
Full Time, Part Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 112900 - 257000 USD Yearly USD 112900.00 257000.00 YEAR
Job Description & How to Apply Below

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artifi cia l intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, 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 — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve Navy mission solutions. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions.

You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in Navy mission solutions.

Join us. The world can’t wait.

You Have:

12+ years of experience with statistical and general-purpose programming languages for data analysis

12+ years of experience analyzing structured and unstructured data sources

10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

8+ years of experience developing experimental and analytic plans for data modeling processes using strong baselines and accurately determining cause and effect relationships

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources

Experience leading a team, including projects and deliverables

Experience leading the development of solutions to complex programs

Experience with natural language processing, text mining, or machine learning techniques

Master's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research

Nice If You Have:

10+ years of experience with natural language processing topics, including tagging, syntactic parsing, word sense disa mbiguation, topic modeling, contextual text mining, and application of deep learning to NLP

8+ years of experience developing statistical and simulation models

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ;
Secret clearance 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…

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