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Data Scientist - Senior

Allen Integrated Solutions • National Security • Intelligence • TS/SCI • Python • 2 months ago
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Salary
≈ $119k – $228k per year (Estimated)
Location
In office (Springfield)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 23, 2026. Allen Integrated Solutions scores A on the Alion truth index.

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Allen Integrated Solutions

Allen Integrated Solutions is a government services contractor based in Stafford, Virginia, providing engineering and analytics support to Intelligence Community, Department of Defense and Homeland Security customers. A certified woman-owned small business, it works in classified environments across geospatial intelligence, systems engineering and integration, multi-intelligence analysis and agile program delivery, including National Air and Space Intelligence Center work in Dayton, Ohio. It hires cleared imagery scientists for SAR and electro-optical data, remote sensing and OPIR engineers, geospatial analysts, cloud integration engineers, system administrators and mission trainers.
allenintegratedsolutions.com • HQ: Stafford, United States • Intelligence • Homeland Security • National Security • 501-1000 employees • Est. 2015
Tech stack of Allen Integrated Solutions

Data Scientist - Senior 

Location: Springfield, VA 

TS/SCI REQUIRED

Current CI polygraph is required immediately after starting (or already within scope)

Position Responsibilities:  

  • Experience working with AI/ML technologies and data systems
  • Experience working with multiple file types including geospatial file formats, JSON, XML, etc.
  • 3+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
  • Development experience in Python and other languages for data cleaning and manipulation
  • Desired: Experience applying NLP algorithms to extract data from documents; experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices; demonstrated expertise in math, statistics, and quantitative analysis; experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modeling. 
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