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Data Scientist Sr

Job ID: 2305519
Location: COLUMBIA, MD, United States
Date Posted: May 13, 2023
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description

Description

Are you interested in joining SAIC to be part of our partnership providing high quality engineering advisory services, system planning, integration, and architecture to our government intelligence agency customer? Then consider joining the members of the Enterprise Systems Engineering and Architecture team as they aid our customer in collaborating, integrating, and standardizing the engineering approach across the customers enterprise.

We have a current requirement for multiple Enterprise Data Modeling Team Data Scientists positions at differing experience levels in support of our customer’s Signals Intelligence  mission. The position will be at the customer's Columbia Maryland campus.  The selected data scientists will:

  • Focus on extracting knowledge and insights from both structured and unstructured data in various forms.
  • Generate reports that summarize analysis of data representations to provide data-driven insights to customers.
  • Partner with subject matter experts to translate manual data analysis into automated analytics.

Qualifications

Required:

  • Must have TS/SCI clearance with polygraph
  •  Experience/Education Requirements:
    • Level 4 positions:
      • Nine (9) years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics with a Bachelor’s degree from an accredited college or university in Computer Science, Mathematics, or related discipline.  OR  
      • Ten (10) years of experience without a degree. OR
      • Six (6) years of experience with a Master’s degree, OR
      • Three (3) years of experience with a PhD.
    • Level 3 positions:
      • Six (6) years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics with a Bachelor’s degree from an accredited college or university in Computer Science, Mathematics, or related discipline.  OR  
      • Seven (7) years of experience without a degree. OR
      • Three (3) years of experience with a Master’s degree, OR
      • Zero (0) years of experience with a PhD.
    • Level 2 positions:
      • Bachelor’s degree or advanced degree in Computer Science, Mathematics, or other related discipline plus at least 3 years of experience in Mathematics/Statistics; Computer Science; analysis of data syntax and semantics; and domain expertise/analysis. OR
      • A qualifying Masters or PhD degree may be substituted for three (3) years of experience. OR
      • A high school diploma or GED plus 4 years of data science experience would also be acceptable.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are approximately 26,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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