About The Position

We're seeking a skilled Data Science Subject Matter Expert to support critical government and intelligence initiatives by providing deep expertise in data science toolkits, analytics, statistical analysis, and multi cloud data discovery and exploitation. This role focuses on transforming complex data into actionable insights and communicating findings in clear, effective ways to support mission outcomes. If you excel at advanced analytics, solving complex data problems, and thrive in a fast paced, detail oriented, and mission driven environment, this opportunity is for you. Position Overview: Provides deep expertise in data science toolkits, analytics, statistical analysis, and multi-cloud data discovery and exploitation. Communicates complex data findings in clear, actionable ways.

Requirements

  • TS/SCI clearance with polygraph required, including additional security screenings
  • Entry Level: HS/GED + 6 years experience, Associate's + 4 years experience, Bachelor's + 2 years experience, Master's degree (experience may be substituted as appropriate)
  • Journeyman Level: HS/GED + 8 years experience, Associate's + 6 years experience, Bachelor's + 4 years experience, Master's + 2 years experience
  • Senior Level: HS/GED + 10 years experience, Associate's + 8 years experience, Bachelor's + 6 years experience, Master's + 4 years experience, PhD + 2 years experience
  • Expert / Master Level: HS/GED + 12 years experience, Associate's + 10 years experience, Bachelor's + 8 years experience, Master's + 6 years experience, PhD + 4 years experience

Responsibilities

  • Apply in-depth knowledge of data science toolkits, data analytics, statistical analysis, and data discovery within multi-cloud environments.
  • Demonstrate proficiency in standard data science languages including SQL, R, Python, and Julia.
  • Apply data integration and data management fundamentals to move data science projects from development into production.
  • Understand customer needs and visualize data in the most effective way for a given project or study.
  • Perform analytical work with unstructured datasets.
  • Produce technical writing that communicates complex data in simple, actionable ways.
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