Geospatial AI Analyst | TS/SCI Maven Specialist

 Xcellent Technology Solutions, Inc

Springfield (VA)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Flexible healthcare
PTO and holidays
401(k) plan

Job summary

Xcellent Technology Solutions, Inc. is seeking a Geospatial Analyst with TS/SCI to support NGA Maven programs in Springfield, VA.

You will exploit, process, analyze, and visualize geospatial data, leveraging geospatial techniques, programming, and modern analytic methods to deliver high‑quality GEOINT products that meet NGA standards. The role requires collaboration within a team and the ability to work independently, with a focus on advancing AI-enabled GEOINT capabilities while maintaining

Qualifications

  • Active TS/SCI clearance or willingness to obtain
  • Bachelor’s degree with 2+ years relevant experience / or 5+ years experience
  • Geospatial analysis experience to build, process, analyze, visualize GEOINT data
  • Experience producing GEOINT products to NGA standards
  • Experience with imagery and multi‑INT analysis
  • Proficiency with common geospatial software and visualization tools
  • Programming or scripting to exploit, transform, and analyze geospatial data

Responsibilities

  • Apply GEOINT tradecraft to exploit, process, analyze, and visualize geospatial data to support imagery acquisition and GEOINT production.
  • Work with structured, semi-structured, and unstructured data sources to produce high‑quality GEOINT products.
  • Collaborate with team members to enrich data and develop AI-enabled GEOINT capabilities.

Skills

Geospatial analysis
GEOINT workflows
Programming
Data visualization
Communication
Imagery analysis
Scripting

Education

Bachelor’s degree
Associate’s degree

Tools

Geospatial software
Visualization tools

Job description

Xcellent Technology Solutions, Inc. is seeking a Geospatial Analyst with TS/SCI to support NGA Maven programs in Springfield, VA.

You will exploit, process, analyze, and visualize geospatial data, leveraging geospatial techniques, programming, and modern analytic methods to deliver high‑quality GEOINT products that meet NGA standards. The role requires collaboration within a team and the ability to work independently, with a focus on advancing AI-enabled GEOINT capabilities while maintaining

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