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Kestrel Intelligence seeks a Data Scientist to architect production-grade AI/ML subsystems powering commercial and national security missions. You will build high-fidelity geospatial data pipelines and wrap AI/ML into tools for Agentic AI, working at the cutting edge of geospatial science.
You must have deep geospatial foundations, production-grade experience in multiple domains, and US citizenship. This role is on-site at client sites in Colorado Springs or DC with potential TS/SCI clearance
At Kestrel, we are building the future of scalable autonomy across domains. Our systems enable commercial and national security customers to sense and act in support of complex missions without significant autonomous system expertise. This technology bridges domains (e.g., space, air, land, sea) and fields (e.g., AI, orbital dynamics, geospatial), requiring a team that has both breadth and depth in these related topics.
We are looking for an individual contributor to architect and deploy production-grade subsystems that power our cutting-edge products for both commercial clients and critical national security missions. As a Kestrel Data Scientist, you will lead the development of high-fidelity data processing pipelines, traditional AI/ML models, and wrapping them into tools for next-generation Agentic AI. You will work at the bleeding edge of geospatial science. This role requires adaptability, engineering rigor, and a deep respect for the mission.
A master of foundational geospatial: Proven experience building geospatial data preprocessing pipelines (raster and vector) using the modern geospatial stack (GDAL, SNAP, rasterio, PostGIS, etc.).
A specialist: You must have production-grade experience in at least two (2) of the following domains:
Must be a US Citizen