> Markdown version of [/jobs/ext/4629063-data-scientist-mid](https://www.wearedevelopers.com/jobs/ext/4629063-data-scientist-mid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Mid - **Company:** Booz Allen Hamilton Inc. - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Fraud Prevention and Detection, Geospatial Intelligence, Machine Learning, Unstructured Data, Large Language Models, Information Technology - **Published:** November 7, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88801973/1 ## About the Role * 2+ years of experience in data science, engineering, analytics, statistics, or computer science fields * Experience collaborating in teams * Experience supporting DoW or IC clients * Ability to perform testing and evaluation of AI or ML models * Active TS/SCI clearance; willingness to take a polygraph exam * Bachelor's degree Nice If You Have: * Experience with GEOINT or LLMs * Experience performing or supporting all-source analysis * Possession of excellent verbal and written communication skills * Possession of excellent interpersonal skills * TS/SCI clearance with a polygraph * Master's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science preferred; Doctorate degree in Quantitative Social Science, Statistics, Data Science, or Computer Science a plus ## Description 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 artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up 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.