All-Source Intelligence Data Scientist

M1Technology

Chantilly (VA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

M1Technology in Chantilly, Virginia is seeking a Data Scientist / Data Exploitation Officer to support national security operations. The ideal candidate will have a strong background in intelligence analysis, data evaluation, and will hold an active Top Secret clearance with Polygraph.

Your work will include conducting in-depth analysis, publishing reports on intelligence gaps, and providing mission-specific guidance to ensure the effectiveness of intelligence missions. If you have extensive research experience and expertise in deriving insights from large datasets, we encourage you to apply.

Qualifications

  • Active Top Secret (TS/SCI) clearance with Polygraph.
  • 7+ years of demonstrated research and writing experience.
  • Strong skills in data evaluation and link analysis.
  • Prior work with government and commercial sector clients.

Responsibilities

  • Conduct in-depth analysis of all-source intelligence.
  • Develop comprehensive data evaluation reports.
  • Publish reports addressing intelligence gaps.
  • Provide mission-specific technical guidance.
  • Fuse intelligence to support national security objectives.

Skills

Data evaluation and link analysis
Exceptional briefing and written communication
Collaboration across interagency partners
Research and writing experience
Working knowledge of research platforms

Job description

M1Technology in Chantilly, Virginia is seeking a Data Scientist / Data Exploitation Officer to support national security operations. The ideal candidate will have a strong background in intelligence analysis, data evaluation, and will hold an active Top Secret clearance with Polygraph.

Your work will include conducting in-depth analysis, publishing reports on intelligence gaps, and providing mission-specific guidance to ensure the effectiveness of intelligence missions. If you have extensive research experience and expertise in deriving insights from large datasets, we encourage you to apply.

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