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Mid-Level Data Scientist with TS/SCI Clearance with Security Clearance

CALNET, Inc.Springfield, VA🇺🇸United StatesPosted 13 Jul 2026

Why This Role Stands Out

This hybrid role at CALNET, a reputable and growing technology consulting firm, offers you the chance to leverage your advanced analytical skills on impactful GEOINT data projects, fostering significant career growth and skill development. If you are a data scientist with a TS/SCI clearance and a passion for complex problem-solving, you will thrive in this dynamic environment. Apply today to join a team dedicated to delivering exceptional value through cutting-edge technology and expertise.

Quick Overview

Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Springfield, VA, United States
Posted
2 months ago
SQLHTTPSJavaJavaScriptPython

Job Description

Founded in 1989, CALNET, Inc. has become one of the fastest growing privately held companies in the Technology, Intelligence Analysis, and Language Services consulting arena. Headquartered in Reston, VA, CALNET employees deliver true value to our customers by employing best practices, world-class technologies industry expertise in every project. CALNET is ISO 9001, ISO 20000, ISO 27001, CMMI-Level III for Services, and CMMC Level 2 certified. We are currently searching for a talented, professional Mid-Level Data Scientist with TS/SCI clearance to join our team to support NGA.

About the Job The Senior Analytical Methodologist possesses skills that focus on GEOINT data enrichment and management. Applies expertise to exploit GEOINT data or information in order to develop advanced analytic processes, apply scientific approaches to test geospatial data for accuracy and precision, create automated services that support GEOINT creation and delivery, and/or structure and manage data for further use. Requirements

  • 7 + years of demonstrated experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques to solve complex problems such as GIS, quantitative methods and data visualization, modeling, systems analysis, comparative analysis and database development.
  • Bachelor’s degree or master's degree in computer science or information technology discipline.
  • Demonstrated knowledge and experience in data mining, cleansing and exploring spatial, temporal and non-spatial data in both structured and unstructured formats.
  • Demonstrated knowledge of programming languages (e.g. Python, Java, JavaScript, SQL), modeling software, spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.
  • Current, active TS/SCI with the ability to obtain a CI Poly.

This opportunity is located in Springfield, VA. To apply, go to https://jobs.jobvite.com/calnet.  CALNET, Inc. offers a competitive base salary and a generous benefits package. This package includes medical, dental, vision, life, short- and long-term disability insurances, a 401(k)-retirement savings plan, and generous leave time.  CALNET, Inc. is an

Equal Opportunity Employer; all qualified applicants are encouraged to apply. www.calnet.com EEO/M/F/D/V

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