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Geospatial Science Jobs in Colorado (NOW HIRING)

WTG Energy

GIS Analyst

Denver, CO

Bachelor's degree in Geography, Geospatial Science, Urban Planning, Environmental Science, or a related field. * Experience : 3-5 years of professional GIS experience, with a proven track record in ...

WTG

GIS Analyst

Denver, CO · On-site

$80K - $95K/yr

Bachelor's degree in Geography, Geospatial Science, Urban Planning, Environmental Science, or a related field. * Experience : 3-5 years of professional GIS experience, with a proven track record in ...

BlackSky

Staff Program Manager

Denver, CO · On-site

Bachelor of Science degree (or four years of additional equivalent experience) in Aerospace Engineering, Systems Engineering, Geospatial Science, or a related field. Preferred Qualifications:

Planet

Senior Geospatial AI/ML Engineer

Denver, CO · On-site

$107.60K - $147.70K/yr

Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field. * 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm ...

Planet

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field. * 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm ...

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field. * 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm ...

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field. * 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm ...

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$65.7K

$81.3K

$97.3K

How much do geospatial science jobs pay per year?

As of May 28, 2026, the average yearly pay for geospatial science in Colorado is $81,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $86,200.00 per year, depending on experience, location, and employer.

What is a Geospatial Science job?

A Geospatial Science job involves collecting, analyzing, and interpreting spatial data to understand geographic patterns and relationships. Professionals in this field use technologies like GIS (Geographic Information Systems), remote sensing, and GPS to support decision-making in areas such as urban planning, environmental management, and disaster response. Roles may include GIS analysts, cartographers, surveyors, or remote sensing specialists. These jobs are found in industries like government, agriculture, transportation, and defense. Strong analytical skills and proficiency in geospatial software are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Geospatial Science position, and why are they important?

To succeed in Geospatial Science, you need strong analytical skills, a background in geography or environmental science, and proficiency in spatial data analysis. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools, and certifications such as GISP or Esri Technical Certification are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you work with interdisciplinary teams and convey complex spatial information. These competencies are crucial for ensuring accurate data interpretation and impactful decision-making in projects involving mapping, planning, or resource management.

What are the typical daily responsibilities for someone working in Geospatial Science?

Professionals in Geospatial Science typically spend their days collecting, analyzing, and interpreting spatial data using GIS and remote sensing technologies. Responsibilities often include creating digital maps, conducting spatial modeling, managing geospatial databases, and supporting environmental or urban planning projects. Collaboration with engineers, surveyors, and project managers is common, as is the need to present findings to stakeholders through reports or visualizations. The role offers a dynamic mix of independent technical work and teamwork, making it ideal for those who enjoy both in-depth analysis and collaborative problem-solving.
More about Geospatial Science jobs
What are popular job titles related to Geospatial Science jobs in Colorado? For Geospatial Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Geospatial Science jobs in Colorado look for? The top searched job categories for Geospatial Science jobs in Colorado are:
What cities in Colorado are hiring for Geospatial Science jobs? Cities in Colorado with the most Geospatial Science job openings:
Geospatial Science jobs near you
Infographic showing various Geospatial Science job openings in Colorado as of May 2026, with employment types broken down into 54% Full Time, 11% Part Time, 32% Contract, and 3% Nights. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $81,340 per year, or $39.1 per hour.

Data Scientist (Colorado)

Kestrel Intelligence

Colorado Springs, CO

Full-time

Posted 16 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. 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.