Exploitation Specialist/Imagery Scientist (SAR)

BTS Software Solutions is seeking a Exploitation Specialist/Imagery Imagery Scientist (SAR) to support Department of Defense IC missions at Springfield, VA.

The SAR Geospatial Analyst shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Leaming algorithm testing and evaluation.

What You’ll Get to Do:

Required skills:

• 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

Education/Experience:

• 6+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products.
• Experience SAR imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology
• Exhibit experience exploiting SAR to determine the occurrence and location of objects of interest
• Exhibit experience communicating with a variety of technical and non-technical audiences on availability and capabilities of SAR imagery products, methodologies, procedures, and algorithms to enhance analysis.
• Exhibit an understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
• Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products

Required Skills

• Leverage 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 (e.g., geographic coverage, scene attributes) per Government prioritization.
• 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