SAR Data Scientist/Imagery Scientist
On-siteArlington, Virginia, United States
Job Summary
Leverage multi-INT data, with an emphasis on Synthetic Aperture Radar (SAR), to identify, curate, and prepare imagery from emerging sensor platforms for AI/ML model development, testing, and accreditation. Curate imagery that meets Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and operationally relevant conditions. Assess the capabilities and limitations of emerging sensor technologies and recommend data curation strategies that maximize the value of available imagery. Identify data gaps and recommend additional collection or complementary data sources to improve dataset completeness and support model evaluation. Collaborate with cross-functional teams to ensure curated datasets meet quality standards and are suitable for machine learning training, testing, and operational assessment.
Required Qualifications
- Active TS/SCI clearance with eligibility for CI Polygraph
- Experience exploiting Synthetic Aperture Radar (SAR) imagery and related analytical products in support of intelligence or geospatial missions
- Experience conducting multi-INT analysis and integrating information from multiple intelligence disciplines to support mission objectives
- Proficiency working with structured, semi-structured, and unstructured datasets using programming, scripting, and visualization tools to analyze and exploit geospatial information
- Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to complex intelligence problems
Desired Qualifications
- Experience developing or applying machine learning (ML) and computer vision (CV) techniques for the exploitation of overhead imagery, motion imagery, or other geospatial datasets
- Familiarity with AI/ML workflows supporting imagery analysis, object detection, or model evaluation
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