Geospatial Data Scientist

MITRE; McLean (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

MITRE is seeking a geospatial data scientist to advance modeling, analysis, and visualization for national impact. You will apply supervised and unsupervised learning, GeoAI, and geospatial analytics to sponsor projects and internal initiatives.

The role emphasizes building scalable spatial solutions, cloud deployment, and dashboards. Applicants should bring 5+ years of experience with a related degree and strong Python/GIS expertise, in a collaborative, mission-driven environment.

Qualifications

• Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's; or a PhD.
• Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, GIS, or related field.
• Applied experience with GIS tools, developing geospatial workflows, and Python visualizations.
• Applied experience in spatial analysis and modeling, ETL of spatiotemporal datasets, and managing spatial databases.
• Experience configuring web-mapping, dashboard applications, and remotely sensed data.
• Familiarity with geostatistics, spatial ML, GeoAI, and multispectral imagery.
• Familiarity with spatiotemporal data in graph databases (ArcGIS Knowledge, Neo4j, ArangoDB).
• Familiarity developing web applications with OpenLayers, Leaflet, ArcGIS JS.

Responsibilities

• Support the development of geospatial data science deliverables for sponsor projects, internal R&D, and corporate initiatives.
• Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science.
• Apply spatial data science techniques to tackle customer challenges including geospatial stats, spatial optimization, and visualization.
• Build and test geospatial prototypes in MITRE, government, and cloud environments.

Skills

Geospatial data science

Python

GIS tools

Spatial analysis

GeoAI

Geospatial databases

Web mapping

Cloud environments

Education

Bachelor's degree in Geospatial Data Science or related field

Tools

OpenLayers

Leaflet

ArcGIS JS

Neo4j

ArangoDB

Job description

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We're a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centres for U.S. government agencies - collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation's health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose - and help shape the future.

Department Summary:

MITRE's Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems.

Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you!

Roles & Responsibilities:

The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g. supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field.

Roles and responsibilities include:

• Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
• 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 to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
• Build and test geospatial prototypes in MITRE, government, and commercial cloud environments.

Basic Qualifications:

• Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
• Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
• Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
• Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
• Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
• Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
• Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
• Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS