OverviewWe are seeking an experienced
SAR Data Scientist Specialist / Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.
This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad range of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.
As a SAR Exploitation Specialist / Imagery Scientist, you will apply your expertise in Synthetic Aperture Radar (SAR) imagery and multi-INT analysis to support the curation, exploitation, and preparation of imagery datasets for machine learning model development, testing, and evaluation. You will work closely with engineers, data scientists, and mission analysts to ensure imagery products are representative, mission-relevant, and optimized for AI/ML applications.
Required Qualifications- Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
- Experience exploiting Synthetic Aperture Radar (SAR) imagery and SAR 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.
- Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to solve complex intelligence challenges.
Preferred Qualifications- Experience developing or applying machine learning (ML) and computer vision (CV) techniques to overhead imagery, motion imagery, or geospatial datasets.
- Familiarity with AI/ML workflows supporting imagery exploitation, object detection, and model evaluation.
Key Responsibilities- Leverage multi-INT data, with an emphasis on Synthetic Aperture Radar (SAR), to identify, curate, and prepare imagery collected from emerging sensor platforms for AI/ML model development, testing, evaluation, and accreditation.
- Curate imagery that aligns with Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and operationally relevant conditions.
- Evaluate the capabilities and limitations of emerging sensor technologies and recommend data curation strategies that maximize dataset quality and mission value.
- Identify data gaps and recommend additional collections or complementary data sources to improve dataset completeness and support model testing and evaluation.
- Collaborate with cross-functional teams to ensure curated imagery meets quality standards and is optimized for machine learning and advanced analytics.