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Data Scientist

Job in Biloxi, Harrison County, Mississippi, 39531, USA
Listing for: Booz Allen Hamilton
Full Time, Part Time position
Listed on 2026-09-11
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 99000 - 225000 USD Yearly USD 99000.00 225000.00 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 your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

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 artifi cia l 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 develop ment 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 programming in languages such as Python, R, SQL, SAS, or MATLAB

Experience analyzing structured and unstructured data sources

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

Experience with distributed or big data ecosystems such as Spark, Databricks, Elastic Search, or Ni Fi

Knowledge of Machine Learning, Artifi cia l Intelligence, or Natural Language Processing

Nice If You Have:

Experience working with ADVANA, including enterprise data integration, curated layers, and mission centric dashboard

Experience with the Maven Smart System ( MSS ) , including analytics for C2 operations, geospatial workflows, AI / ML integration, or FMV or imagery pipelines

Experience develop ing analytics or data applications in Palantir Foundry or Gotham, espe cia lly within DoD environments

Experience with data-sources related to met eorology, oceanography, and environmental intelligence

Experience supporting operational DoD customers such as Combatant Commands

Experience deploying analytic or ML workflows in multi classification or secure cloud environments

Experience with enterprise BI or visualization tools such as Tableau, Power BI, or Qlik

Experience with visualization packages, including Plotly, Seaborn, or ggplot2

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…

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