Data Scientist
Listed on 2026-06-03
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Data Scientist – 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. Work with us as we use data science for good. Join us. The world can’t wait.
You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Required Qualifications- 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining
- 2+ years of experience analyzing structured and unstructured data
- 2+ years of experience working with Python, including leveraging several different libraries, such as Pandas or Numpy
- Experience developing predictive data models, quantitative analyses, or natural language processing
- Experience using cloud data tools within AWS, Azure, or Oracle
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Secret clearance
- Bachelor’s degree
- Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self-hosting LLMs, fine‑tuning LLMs, or implementing Model Context Protocol
- Experience working with the War Data Platform, USAF VAULT, or Palantir Foundry
- Experience with distributed data and computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience writing infrastructure-as-code leveraging Terraform or a similar tool
- Experience working with DoW clients
- Experience developing visually compelling PowerPoint decks and other products to support client delivery
- Possession of excellent verbal and written communication skills
- TS/SCI clearance
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 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 $77,500.00 to $ (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.
Equal Employment Opportunity StatementCommitment 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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