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Data Scientist, Mid
EEOCData Scientist leveraging IoT and machine learning at Booz Allen to solve complex data challenges. Collaborating with clients to generate actionable insights from data.
Posted 6/16/2026full-timeWashington, DC • District of Columbia, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $99,000 - $225,000 per yearWebsite
Tech Stack
Tools & technologiesETLPythonTableauTypeScript
About the role
Key responsibilities & impact- Work closely with clients to understand their questions and needs
- Dig into their data-rich environments to find the pieces of their information puzzle
- Guide teammates and lead the development of algorithms and systems
- Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers
- Advise clients as they make informed decisions using the deep understanding of the data
Requirements
What you’ll need- 5+ years of experience using data science programming languages such as Python or R
- Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
- Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
- Knowledge of statistical analysis, predictive modeling, and machine learning methods
- Ability to design and develop automated analytic software, techniques, and algorithms
- Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
- Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
Benefits
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program for exceptional performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRETL pipelinesstatistical analysispredictive modelingmachine learningdata visualizationalgorithmsdata cleaningdata conditioning
Soft Skills
client communicationteam leadershipproblem-solvingadvisory skillsanalytical thinking
Certifications
Active TS/SCI clearance