Data Scientist - SME (22760)
About The Position
RenXTech, a people-focused and mission-obsessed company and a wholly owned subsidiary of Buchanan & Edwards, is seeking a Data Scientist (SME level) with exceptional technical capabilities. The role involves performing large-scale parallel processing of data, developing and validating methodologies for analytic requirements in Clustered Computing environments, and utilizing data modeling. The company emphasizes a supportive work environment where employees are valued and work on impactful projects. RenXTech is an Equal Opportunity Employer committed to diversity and inclusion.
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 to perform 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 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
Benefits
- Equal employment opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
