Data Scientist

J5 Consulting, VA
Onsite

About The Position

We are seeking a skilled Data Scientist to support mission-critical intelligence initiatives by analyzing large-scale structured and unstructured data, developing data models, and performing advanced analytics in clustered computing environments. The ideal candidate will have experience with ECL, HPCC, Python, C, and SQL, and will leverage these technologies to produce mission-relevant analytic products that support customer objectives in a fast-paced Intelligence Community environment.

Requirements

  • 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
  • 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
  • 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
  • US Citizenship
  • Active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph

Nice To Haves

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

Responsibilities

  • Analyzing large-scale structured and unstructured data
  • Developing data models
  • Performing advanced analytics in clustered computing environments
  • Producing mission-relevant analytic products that support customer objectives
  • Applying analytic judgment to data presented
  • Manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products
  • Performing large scale parallel processing of data
  • Developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments

Benefits

  • 100% employer-paid health coverage
  • a 6% 401(k) match
  • PTO
  • tuition reimbursement
  • bonuses
  • professional development
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