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Geospatial Data Scientist Jobs in Colorado (NOW HIRING)

RES

Geospatial Technician

Denver, CO · Hybrid

Collects additional field data, including surveyed ground points. * Processes and analyzes ... Bachelor's degree in UAV/Drone Science, Remote Sensing, Geographic Information Systems ...

RES

Geospatial Technician

Denver, CO · Hybrid

$24.05 - $30.06/hr

Collects additional field data, including surveyed ground points. * Processes and analyzes ... Bachelor's degree in UAV/Drone Science, Remote Sensing, Geographic Information Systems ...

RES

Geospatial Technician

Denver, CO · On-site +1

$24.05 - $30.06/hr

Collects additional field data, including surveyed ground points. * Processes and analyzes ... Bachelor's degree in UAV/Drone Science, Remote Sensing, Geographic Information Systems ...

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Geospatial Data Scientist information

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$39.4K

$129.1K

$206.6K

How much do geospatial data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for geospatial data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the most commonly searched types of Geospatial Data Scientist jobs in Colorado? The most popular types of Geospatial Data Scientist jobs in Colorado are:
What are popular job titles related to Geospatial Data Scientist jobs in Colorado? For Geospatial Data Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Colorado look for? The top searched job categories for Geospatial Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Geospatial Data Scientist jobs? Cities in Colorado with the most Geospatial Data Scientist job openings:
Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Data Scientist (Colorado)

Kestrel Intelligence

Colorado Springs, CO

Full-time

Re-posted 28 days ago

Job description

The Mission
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.

The Role
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.

Core Responsibilities:
- Architecture: Lead the 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, from Geospatial Foundation Models (GeoFMs) to autonomous route planning, into a cohesive operational picture.

You Must Be:

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:
- Traditional GeoAI/ML: Object detection/land classification (scikit, OpenCV, etc.).
- Geospatial Foundation Models: Utilizing GeoFMs like AlphaEarth, Prithvi, or Clay.
- SAR & Interferometry: Pipeline development (e.g., isce2).
- Hyperspectral Imaging: Processing (e.g., SPy).
- RF Propagation: Modeling signal data (e.g., CloudRF).
- Digital Elevation Models: Handling DEM in multiple formats (e.g., DTED).
- Autonomous Systems: Route planning for unmanned systems (e.g., Auterion, ArduPilot).
- Optimization: Complex scheduling for satellite constellations or aircraft.
- Economics: Models for resource allocation such as auction, bidding, pricing, waiting.

Must be a US Citizen

Bonus:
- Based in the Colorado Springs, CO or Washington, DC (working in customer sites in Crystal City, VA and Herndon, VA) areas
- Active Top Secret // Specially Compartmented Information (TS//SCI) clearance with counterintelligence-scope polygraph (CSP) or full-scope polygraph (FSP)
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.