Geospatial Data Scientist - Production AI/ML for Autonomy

Kestrel Intelligence

Colorado Springs (CO)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Colorado Springs or DC area

TS//SCI clearance considered

Job summary

Kestrel Intelligence is seeking a data scientist to architect and deploy production-grade subsystems powering geospatial AI and agentic technologies. You will lead development of high-fidelity data processing pipelines and traditional AI/ML models in a mission-focused environment across commercial and national security contexts.

You must have mastery of foundational geospatial data workflows and production-grade experience in at least two of the listed domains, with a focus on end-to-end

Qualifications

Proven experience building geospatial data preprocessing pipelines (raster and vector) using the modern geospatial stack (GDAL, SNAP, rasterio, PostGIS, etc.).
You must have production-grade experience in at least two of the domains listed under Must be a US Citizen.

Responsibilities

Architecture: Lead end-to-end creation of production-ready AI/ML and agentic subsystems.
Geospatial Engineering: Build robust preprocessing pipelines for raster and vector data (using GDAL, SNAP, rasterio, PostGIS).
Innovation: Integrate emerging technologies, GeoFMs and autonomous route planning into a cohesive operational picture.

Skills

Geospatial pipelines

GeoAI/ML

GeoFMs

SAR & InSAR

Hyperspectral

RF Propagation

DEM handling

Autonomous routing

Optimization

Resource economics

Job description

You must have mastery of foundational geospatial data workflows and production-grade experience in at least two of the listed domains, with a focus on end-to-end

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