As a data scientist, turn complex data sets into useful information to solve global issues. Across private and public sectors—from fraud detection to cancer research, to national intelligence—find answers in the data. Use analytical skills to improve our business by working closely with customers to understand their questions and needs, digging into their data-rich environment to find the pieces of their information puzzle, applying analytical skills and using the right combination of tools and frameworks to turn disparate data points into tangible answers to help clients make informed decisions, and providing customers with a deep understanding of their data, what it all means, and how they can use it.
Requirements
- Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment
- Experience using R, Perl, Python, SAS, or SPSS for data analysis
- Knowledge of an object-oriented language, including Java, C++, C-Sharp, or Python
- Ability to gather data and perform analytical work
Responsibilities
- Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment
- Experience using R, Perl, Python, SAS, or SPSS for data analysis
- Knowledge of an object-oriented language, including Java, C++, C-Sharp, or Python
- Ability to gather data and perform analytical work
Other
- TS/SCI clearance with a polygraph
- Scheduled to obtain a Bachelor's degree by Spring or Summer 2026
- Possession of excellent problem-solving skills
- Pursuing a degree in Computer Science, Data Science, Computer Engineering, Systems Engineering, or a related field
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
