Support software integration or testing, including analyzing and implementing test plans and
Apply scripting languages such as Python and R, using packages commonly used in data science and
Apply data science, data mining, statistics, or graph algorithms to support analytics objectives.
Apply SQL, NoSQL, API building, ETL pipelines, web application servers, or search index.
Use tools such as Python, Jupyter Notebook, Pandas, Numpy, and Requests.
Apply complex mathematical and statistical concepts and operations research methods and tools.

🎯 Requirements

Active DoD SECRET clearance (minimum); U.S. citizenship required.
Master's degree.
10 or more years of professional experience with data science.

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