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Capital Solutions Group seeks a Data Scientist (levels 2–4) to apply statistical, mathematical, and computational techniques on large datasets at Ft. Meade, MD. The role requires TS/SCI with polygraphs and agile collaboration with mission owners to translate needs into technical requirements.
Responsibilities include developing quantitative methods, modeling, and communicating complex findings to non-technical stakeholders, while evaluating best technical solutions in a shifting data landscape.
T S/SCI with both Polygraphs is required
Data Scientist (multiple LCAT levels cited below)
VIG-DS-01.080626
Ft. Meade, Maryland
Use data, statistical/mathematical / computer science, reasoning, programming, and knowledge of the business or mission area to reach defensible conclusions. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer-base subset data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Effectively communicate complex technical information to non-technical audiences.
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting customer-bases collection, processing, storage and analytic capabilities and limitations.
Employ some combination (2 or more) of the following skill areas:
n/a
CSG, Inc. is an Equal Opportunity / Aff… All qualified applicants will receive consideration for employment without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.