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Geospatial Data Science Jobs (NOW HIRING)

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

Dewberry

Geospatial Analyst III

Glen Allen, VA · On-site

$75K - $97K/yr

Bachelor's degree in computer science, data science, GIS or other relevant geospatial or data science related field * At least 5 years' experience working with Esri technology, particularly with Esri ...

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Geospatial Data Science information

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How much do geospatial data science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for geospatial data science in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
More about Geospatial Data Science jobs
What cities are hiring for Geospatial Data Science jobs? Cities with the most Geospatial Data Science job openings:
What are the most commonly searched types of Geospatial Data Science jobs? The most popular types of Geospatial Data Science jobs are:
What states have the most Geospatial Data Science jobs? States with the most job openings for Geospatial Data Science jobs include:
What job categories do people searching Geospatial Data Science jobs look for? The top searched job categories for Geospatial Data Science jobs are:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Senior Geospatial Data Scientist

GeoYeti

Reston, VA

Full-time

Posted 24 days ago

Job description

Overview

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote.

Responsibilities
  • Identify corollary datasets to compare against model outputs, especially those with which were unlikely used as part of the training set.
  • Assist in the evaluation of the effectiveness of ML models.
Qualifications

Required Qualifications:   

  • Active TS/SCI clearance with CI poly required to start
  • Expert level understanding of Python, including geospatial libraries like Fiona and Shapely.
  • Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles, GeoPackage, and text-based storage in spatial databases such as PostGIS.
  • Ideally an understanding of storage formats and methodologies for ML models.
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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