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Data Scientist / Data Analytics Scientist (VIG-DS-01.080626)

Capital Solutions Group•Ft. Meade, MD
•Onsite
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About The Position

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.

Requirements

  • TS/SCI with both Polygraphs security clearance required.
  • Employ some combination (2 or more) of the following skill areas: Foundations (Mathematical, Computational, Statistical), Data Processing (Data management and curation, data description and visualization, workflow and reproducibility), Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations).
  • Bachelor’s degree + 3 years relevant experience, OR Associates Degree + 5 years relevant experience (Data Scientist, Level 2)
  • Bachelor’s degree + 10 years of relevant experience, OR Associates Degree + 12 years relevant experience (Data Scientist, Level 3)
  • Bachelor’s degree + 15 years of relevant experience, OR Associates Degree + 17 years relevant experience (Data Scientist, Level 4)

Responsibilities

  • Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements.
  • 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.
  • Devise strategies for extracting meaning and value from large datasets.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Associate degree

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