Data Scientist - Mid

NALLEY CONSULTING · Washington, DC

Published Jul 21, 2026

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About the role

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters.

Position: Data Scientist
LCAT: Mid
Location: Joint Base Anacostia Bolling, Washington, DC
Shift: No

Required clearance and polygraph: Active TS/SCI clearance and ability to pass CI poly
Required experience and education: 3+ years of experience AND bachelor's degree in quantitative social science, statistics, data science, or computer science OR four additional years of experience in those fields in lieu of degree.
Required Qualifications:
  • 3+ years of experience in data science/engineering/analytics, statistics, computer science, or related fields
  • Possession of excellent verbal and written communication skills
  • Possession of excellent interpersonal skills and demonstrated experience collaborating in teams
  • Experience in or ability to perform testing and evaluation of AI/ML models
  • Experience supporting DoW and/or IC clients.
Desired Qualifications:
  • Master's degree or Ph.D. in quantitative social science, statistics, data science, or computer science
  • Experience with GEOINT and/or LLMs
  • Experience performing or supporting all-source analysis
  • An active CI polygraph.

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.

Skills

  • Python
  • R
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • TensorFlow
  • PyTorch

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