Data Scientist with Security Clearance

Experience must be in designing/implementing

machine learning, data science, advanced analytical

algorithms, programming (skill in at least one high-

level language (e.g. Python)), statistical analysis (e.g.

variability, sampling error, inference, hypothesis

testing, EDA, application of linear models), data

management (e.g. data cleaning and transformation),

data mining, data modeling and assessment, artificial

intelligence, and/or software engineering. Experience

in more than one area is strongly preferred.

Degree in math, Applied Math, Stats, Applied Stats, Machine learning, Data Science, Ops Research or CS

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