Data Scientist SME (23053)

BE / RenXTechReston, VA

About The Position

RenXTech, a people-focused and mission-obsessed company, is seeking exceptional candidates with advanced technical capabilities. As a wholly owned subsidiary of Buchanan & Edwards, RenXTech is an Equal Opportunity Employer committed to placing talent on impactful projects. This role involves performing large-scale parallel processing of data, developing and validating methodologies for analytic requirements in clustered computing environments, and providing technical targeting analytic support for a sponsor across various mission spaces. The collected information is used solely for determining employment suitability, verifying identity, and maintaining applicant statistics.

Requirements

  • U.S. Citizen
  • Active TS/SCI clearance with Polygraph
  • Minimum 5 years of experience in ECL
  • Demonstrated experience with HPCC
  • Demonstrated experience using analytic techniques and tools
  • Demonstrated experience manipulating high-volume structured and unstructured data
  • Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of data
  • 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
  • Educational or practical experience in a STEM field

Nice To Haves

  • Experience with Python, R, Pig, Java, C, or SQL for large scale parallel processing of data

Responsibilities

  • Perform large scale parallel processing of data
  • Develop, validate, and use methodologies to support analytic requirements in Clustered Computing environments
  • Perform technical targeting analytic support for a Sponsor across a spectrum of mission spaces
  • Apply analytic judgment to data presented
  • Manipulate high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products
  • Use computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors data
  • Perform data modeling

Benefits

  • Equal employment opportunities
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