Geospatial Data Scientist — Onsite, High-Impact Work

MITRE; McLean (VA); On-site; USD 124,000 - 187,000; Full time

Job summary

MITRE is seeking a geospatial data scientist to advance research in healthcare, transportation, and national security. The role combines theory with hands-on development, modeling, and communication of results.

You will work across geospatial statistics, GeoAI, and visualization, applying both on-site and cloud-based solutions. Ideal candidates bring strong Python experience, GIS workflows, and a drive to innovate within a collaborative, multi-disciplinary team focused on public-interest

Qualifications

• Bachelor’s degree in Geospatial disciplines or related field is required or equivalent professional experience.
• Experience with GIS tools, geospatial workflows, and Python-based visualizations.
• Experience with spatial analysis, modeling, ETL of spatiotemporal data, and spatial databases.
• Web-mapping dashboards and remotely sensed data experience desirable.

Responsibilities

• Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs.
• Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
• Apply a variety of spatial data science techniques to tackle customer challenges including geospatial statistics and AI methods.
• Build and test geospatial prototypes in MITRE, government, and cloud environments.

Skills

Geospatial data science

Machine learning

Python

Geospatial analysis

Cloud computing

Spatial databases

Data visualization

Geostatistics

Containerization

Web mapping

Education

Bachelor's in Geospatial disciplines

Tools

OpenLayers

Leaflet

ArcGIS JS API

Job description

MITRE is seeking a geospatial data scientist to advance research in healthcare, transportation, and national security. The role combines theory with hands-on development, modeling, and communication of results.

You will work across geospatial statistics, GeoAI, and visualization, applying both on-site and cloud-based solutions. Ideal candidates bring strong Python experience, GIS workflows, and a drive to innovate within a collaborative, multi-disciplinary team focused on public-interest