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.
Requirements
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with statistical and general-purpose programming languages for data analysis
- Experience working in the IC using multi-INT data sources for analysis
- Experience developing and deploying generative AI tools
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
- 2+ years of experience with Python for data analysis
- Experience with R, SQL, HTML, and JavaScript
Responsibilities
- use your analytical skills and data science knowledge to create real-world impact
- dig into their data-rich environments to find the pieces of their information puzzle
- develop algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
- use data science for good
Other
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
- Experience with multiple intelligence types, including SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT
- Experience with geospatial data analysis tools
- TS/SCI clearance with a polygraph
