Data Scientist SME (23053)

BE / RenXTech • Herndon, VA

6d • $210,000 - $245,000 • Onsite

About The Position

RenXTech, a wholly owned subsidiary of Buchanan & Edwards, is seeking a Data Scientist (SME level) with experience in ECL and HPCC. The role involves performing large scale parallel processing of data, data modeling, and developing methodologies to support analytic requirements in Clustered Computing environments. The position is for Intelligence Operations Support and requires a U.S. Citizen with an Active TS/SCI clearance with Polygraph.

Requirements

• Must be a U.S. Citizen
• Must have an Active TS/SCI clearance with Polygraph
• 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.
• Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.

Nice To Haves

• Experience in Python, R, Pig, Java, C, or SQL

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 the 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed