Data Scientist

Verite Group, Inc.

  • McLean, VA
  • 5 days ago

    Highlights

    We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest. Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this Sponsor across a spectrum of mission spaces to include applying analytic judgement to data presented.

    Numbers & Facts

    LocationMcLean, VA

    Description

    Data Scientist

    McLean, VA

    TS/SCI + FS Poly

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    What Impact You'll Have

    GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

    What You'll Be Owning

    GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.

    What You Must Have

    • Active TS/SCI with Polygraph Clearance
    • Demonstrated experience with ECL and HPCC (5 years minimum in ECL)
    • Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this Sponsor across a spectrum of mission spaces to include applying analytic judgement to data presented.
    • Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
    • Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors data. These languages complement ECL.
    • Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
    • Demonstrated experience with data modeling.

    What Would Be Nice to Have

    • Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.

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