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Intern Geospatial Data Scientist Jobs in Colorado

... solutions that combine geospatial analysis, advanced analytics, statistics, and software ... We're looking for a data scientist who can select the right analytical approach for each challenge ...

Data Scientist II

Denver, CO · On-site

$72K - $135K/yr

Experience working with ArcGIS software or other geospatial technologies * Experience preparing ... Bachelor's degree in data science, statistics, mathematics, computer science, geography, economics ...

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

DATA SCIENTIST

Aurora, CO · On-site

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

CO

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

Showing results 21-40

Intern Geospatial Data Scientist information

What is the difference between Intern Geospatial Data Scientist vs Intern GIS Analyst?

AspectIntern Geospatial Data ScientistIntern GIS Analyst
Required CredentialsBasic coursework in data science, GIS, or related fields; some programming experienceStudying GIS, geography, or related fields; familiarity with GIS software
Work EnvironmentData analysis, modeling, and programming tasks in a tech or research settingMapping, data management, and spatial analysis in government or environmental agencies
Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, urban planning, environmental organizations

Intern Geospatial Data Scientists focus on analyzing spatial data using programming and statistical methods, while Intern GIS Analysts primarily handle mapping and spatial data management. Both roles provide valuable experience in geospatial fields but differ in technical depth and focus areas.

How much does an intern geospatial data scientist make?

Intern geospatial data scientists typically earn between $15 and $25 per hour, depending on location, company, and level of experience. Compensation may also include benefits such as mentorship and training in GIS tools and programming languages like Python or R.

How to get a geospatial data scientist internship?

To secure a geospatial data scientist internship, candidates should have a strong foundation in geospatial analysis, programming skills in Python or R, and experience with GIS tools like ArcGIS or QGIS. Building a portfolio of relevant projects, obtaining certifications such as GISP or Esri Technical Certification, and applying through company career portals or internship programs can improve chances. Internships often require a related degree and good analytical skills.

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 Intern Geospatial Data Scientist jobs in Colorado?

For Intern Geospatial Data Scientist jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Intern Geospatial Data Scientist jobs in Colorado look for?

The top searched job categories for Intern Geospatial Data Scientist jobs in Colorado are:

Data Scientist (Colorado)

Kestrel Intelligence

Colorado Springs, CO • On-site

Full-time

Re-posted 10 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.