We are seeking an experienced Exploitation Data Scientist / 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 an Exploitation Specialist / Imagery Scientist, you will leverage your expertise in Synthetic Aperture Radar (SAR), multi-INT analysis, and geospatial exploitation to support the curation, analysis, and preparation of imagery datasets used to develop, test, and evaluate AI/ML models. Working closely with engineers, data scientists, and mission analysts, you will help ensure mission-critical datasets are accurate, representative, and optimized for operational use.
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 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.
Preferred 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.
Key Responsibilities
- 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.