Data Scientist - SME (22760)

BE / RenXTech • McLean, VA

5d • 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. This position is for Intelligence Operations Support and requires an active TS/SCI clearance with Polygraph. RenXTech is a people-focused, mission-obsessed company that values its employees and works on impactful projects.

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
• 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 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
• 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
• Data Modeling
• 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

What This Job Offers

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