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AI​/ML Engineer and Data Scientist

Job in Fort Belvoir, Fairfax County, Virginia, 22060, USA
Listing for: Phase2 Technology
Full Time, Part Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 99000 USD Yearly USD 99000.00 YEAR
Job Description & How to Apply Below

Job Number: R0241401

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 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:
  • 3+ years of experience with statistical and general-purpose programming languages for data analysis
  • 3+ years of experience analyzing structured and unstructured data sources
  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
  • Experience with natural language processing, text mining, or machine learning techniques
  • Experience with REST APIs, webhooks, and automation middleware
  • Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms
  • Knowledge of AI and ML workflows leveraging existing AI and ML tools
  • TS/SCI clearance
  • Bachelor's degree
Nice If You Have:
  • Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and No

    SQL
  • Experience with distributed data and computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2
  • Master's degree
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 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. Salary ranges from $99,000.00 to $ (annualized USD). This posting will close within 90 days from the Posting Date.

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.

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