Data Scientist SME

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies.

• Note: Please ensure you meet the Security Clearance obligations before applying to optimize your consideration for this and other employment opportunities with RCS.

RCS is seeking a Data Scientist to apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores.

This position requires the candidate to meet specific Security Clearance obligations to work onsite in McLean, VA.

What you will do:

• Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
• Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Agency.
• Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Do you have experience in Programming languages?, * Clearance: Active TS/SCI clearance with Full Scope Polygraph *

• U.S. Citizenship required (NO EXCEPTIONS)

• ECL and HPCC (5 years minimum in ECL)
• Using analytic techniques and tools performing technical targeting analytic support across a spectrum of mission spaces to include applying analytic judgement to data presented.
• Manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
• Using computer languages (e.g., Python, C, SQL) to perform large-scale parallel processing of the data. These languages complement ECL.
• Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
• Data modeling.
• Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.