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Geographic Information Systems

Data Science, Analytics and AI/ML

Geographic Information Systems (GIS) are computer systems that capture, store, analyze, and display spatial or geographic data, combining maps with layered data sets like demographics, infrastructure, and environmental information. Urban planners, environmental scientists, logistics companies, and government agencies use GIS software (such as Esri ArcGIS or QGIS) to visualize spatial relationships, model scenarios, and support decision-making. Common applications include land-use planning, disaster response, utility management, and route optimization.

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Geographic Information Systems in the job market

Last checked October 28, 2026

Open roles
4

on Career App

Employers
3

hiring for it

Median pay
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Open roles requiring Geographic Information Systems (4)

Wildlife Biologist

U.S. Fish and Wildlife Service

Full-time · Smyrna, DE · $82,289 – $128,221

This position manages biological programs and wildlife habitat across a coastal refuge complex for the US Fish and Wildlife Service, involving data analysis, field coordination, and team leadership. It suits biologists with experience in wildlife management, conservation planning, and species monitoring who want to work directly on federal lands.

Via USAJOBS · Apply there ↗

Engineering Technician-CADD/GIS

Washington Headquarters Services

Full-time · Fairfield, PA · $85,447 – $111,087

This federal role supports infrastructure and facility projects at a Department of Defense installation by creating and maintaining technical drawings and geospatial data. It suits candidates with hands-on experience in drafting, CAD, GIS, or related engineering work who can work independently and manage complex design projects.

Via USAJOBS · Apply there ↗

Moody's Corporation

Machine Learning Engineer

Moody's Corporation

Full-time · Chicago, IL · $95,500 – $138,550

This role develops machine learning and computer vision solutions for Moody's property intelligence platform, working with geospatial imagery to help organizations assess climate and economic risks. It suits engineers with 2+ years of ML experience who want to apply deep learning and AI governance expertise to real-world risk assessment problems at scale.

Listed on Moody's Corporation’s careers site · Apply there ↗

Moody's Corporation

Senior Software Engineer

Moody's Corporation

Full-time · Charlotte, NC · $116,500 – $169,000

This role involves building and maintaining scalable back-end systems for Moody's insurance analytics platform, working closely with data science and machine learning teams to translate business needs into technical solutions. It suits experienced software engineers comfortable with Python, SQL, and AI concepts who want to tackle complex engineering challenges in a risk assessment context.

Listed on Moody's Corporation’s careers site · Apply there ↗

Roles that use Geographic Information Systems

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