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# Data Scientist, Senior

- **Company:** BOOZ, ALLEN & HAMILTON, INC.
- **Location:** Lexington Park, MD, United States
- **Experience:** Expert
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer Networks, Information Engineering, Extract Transform Load (ETL), Fraud Prevention and Detection, Python (Programming Language), Natural Language Processing, Text Mining, Unstructured Data, Scripting, Deep Learning, Topic Modeling, SC Clearance, Information Technology, Programming Languages
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=616dacee574a313d

## About the Role

* 8+ years of experience with analyzing data
 * 8+ years of experience with using statistical sof tware applications, including SAS or R
 * 5+ years of experience with developing data science solutions in a scripting or programming language, including Python, R, C, or Java
 * Knowledge of data engineering practices, including ETL or ELT
 * Secret clearance
 * Bachelor's degree

Nice If You Have:

 * 5+ years of experience with developing statistical and simulation models
 * 3+ 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
 * 3+ years of experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationships
 * Master's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research

## 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 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.


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