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Data Scientist - MID Job#480 with Security Clearance

Allen Integrated SolutionsSpringfield, VA🇺🇸United StatesPosted Sep 16, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your data science expertise in a mission-critical environment, developing innovative automated solutions and enhancing intelligence integration. You'll thrive here if you possess strong skills in Python, SQL, geospatial software, and machine learning, and are eager to contribute to impactful projects within a reputable organization. Apply now to join a team where your technical prowess will directly support national security initiatives.

Quick Overview

Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Springfield, VA, United States
Posted
5 weeks ago
SQLAWSLinearNLPGitPythonTensorFlow

Job Description

Data Scientist - MID Job#480 Springfield, Virginia, United States Apply 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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