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Geospatial Data Science Jobs (NOW HIRING)

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 ...

Dewberry

Geospatial Analyst III

Glen Allen, VA · Hybrid

$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 ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

... data science or related field * Proven experience with machine learning and statistical modeling * Strong background in geospatial analysis * Demonstrated track record of successful analytical ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

Our rigorous approach to product design, testing, and data science leads to accurate assessments of ... The Software Engineer, Geospatial Data position sits on our team responsible for civic and ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · Remote

$117K - $140K/yr

Our rigorous approach to product design, testing, and data science leads to accurate assessments of ... The Software Engineer, Geospatial Data position sits on our team responsible for civic and ...

Civitech

Software Engineer, Geospatial Data

$117K - $140K/yr

The Software Engineer, Geospatial Data position focuses on developing scalable and secure ... data science teams to develop features from participation in requirements definition through to ...

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Geospatial Data Science information

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$77.5K

$122K

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.
Geospatial Analyst - Object Based Intelligence (OBI) Advanced Method

Geospatial Analyst - Object Based Intelligence (OBI) Advanced Method

Peraton

Herndon, VA • On-site

$104K - $166K/yr

Full-time

Posted 18 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

45th of 204 rated it services

Job description

Responsibilities
Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters.
Responsibilities:
The Geospatial Analyst - Object Based Intelligence (OBI) Advanced Method utilizes skills in analyzing geographic data and interpreting spatial information to provide insights to make high-quality intelligence driven decisions and actions. This position will focus on OBI Advanced Method. Responsibilities are, but are not limited to:
Geospatial Analyst specifically:
  • Conduct geospatial analysis of objects, networks, and use of geospatial tools, methodologies, spatial-temporal data, imagery, social, and physical sciences.
  • Exploit imagery, vector, and other data types to include non-geospatially correlated data.
  • Map objects in the spatial domain to provide location, identity, and geographic features and activities.

OBI specifically:
  • Integrate geospatial data into all source products.
  • integrating geospatial data into analytical workflows.
  • Build and explain geospatial models that leverage statistics, data science, and quantitative methods.
  • Analyzes and characterizes spatial-temporal data using Geographic Information Systems (GIS) such as ArcGIS or QGIS.
  • Provide advice on emerging geospatial methods, tools, algorithms, training, or requirements.
  • Employ new and improved methodologies or data sets to address information gaps and identify high-quality solutions to complex analytic problems.
  • Leverages cartographic principles in all map products to ensure ease of use and interpretation.
  • Develop or discover algorithms and solutions to analyze, process, or visualize data for distributed processing.

Qualifications
Required Qualifications:
  • Bachelor's degree in a relevant field, such as Geospatial Intelligence or GIS, with a minimum of 8 years of work experience.
  • Knowledge and experience in conducting geospatial analysis of objects, networks, and use of geospatial tools, methodologies, spatial-temporal data, imagery, social, and physical sciences.
  • Knowledge of integrating geospatial data into all source products or analytical workflows,
  • Capability in preparing and presenting briefings to customer senior management to effectively communicate technical and complex analytic issues and recommended solutions.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications:
  • Master's degree in a relevant field, such as Geospatial Intelligence or GIS.
  • GEO INT Professional Certification - Geospatial Analysis (GA-II)
  • Experience working in the customer environment is preferred.

Security Clearance:
This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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