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Data Scientist - MID

Allen Integrated Solutions • National Security • Intelligence • TS/SCI • Python • SQL • SAS • 2 months ago
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Salary
≈ $94k – $204k per year (Estimated)
Location
In office (Springfield, Tampa, Saint Louis)

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on May 29, 2024. 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 - MID

Location: Springfield, VA 

TS/SCI REQUIRED

Position Responsibilities:  

  • Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
  • Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
  • Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
  • Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
  • Conduct extensive collections and analytic modeling, data processing,  

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.  

  

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