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Data Scientist

Job

Kepora

Linthicum Heights, MD (In Person)

Full-Time

Posted 1 week ago (Updated 6 days ago) • Actively hiring

Expires 7/19/2026

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Job Description

🔒 Clearance & Citizenship Requirements This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph . Candidates who do not currently hold these credentials will not be considered.
Description:
INTRODUCTION
SAIC is looking for a Data Scientist to apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores. The candidate will also increase their skills with the following:
  • 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 Sponsor Agency.
  • Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.
Required Skills:
• 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
Desired Skills:
Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.