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# Exploitation Specialist/Imagery Scientist

- **Company:** GRVTY, LLC
- **Location:** United States
- **Salary:** $110,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Data Visualization, Machine Learning, Model Validation, Semi-structured Data
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/6cdf1729-dbd7-4be8-8336-08edc5cf81cd/exploitation-specialistimagery-scientist-sar-mid-level

## About the Role

* Active TS/SCI Clearance with the ability to obtain a CI/Poly
 * Experience with Synthetic Aperture Radar imagery analytical products and conducting multi-INT analysis
 * Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies to related issues

What Would be Nice to Have

 * Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products

## Description

GRVTY is seeking a motivated and experienced Geospatial SAR Imagery Analyst Scientist with Geospatial and Imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation. The ideal candidate is a SAR analyst having experience with understanding of collection, phenomenology, image formation process, and exploitation products.

What You'll be Owning

 * Leveraging multi-INT data, with an emphasis on SAR, to curate imagery from the emergent sensors. Curated imagery will be prioritized for creation of labeled data to support the model evaluation and accreditation. Curated Imagery should have objects of interest or needed characteristics
 * Based on the characteristics and limitations of the emergent sensor, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model evaluation


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