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Geospatial Data Scientist Jobs (NOW HIRING)

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Use a range of data visualization tools and data science techniques to support the translation of ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ... Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ... Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering ...

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Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do geospatial data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance later in life by acquiring relevant skills such as programming, GIS tools, and statistical analysis. Age is generally not a barrier if you develop the necessary technical expertise and stay current with industry tools.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing use of geographic information systems in sectors like urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and data visualization are valuable, and the field is expected to grow as organizations rely more on location-based data for decision-making.

What is the highest paying GIS job?

The highest paying GIS-related roles are often senior positions such as GIS Manager, Geospatial Data Scientist, or GIS Director, with salaries exceeding $100,000 annually depending on experience, industry, and location. Specialized skills in programming, data analysis, and proficiency with tools like ArcGIS or QGIS can also contribute to higher compensation.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

A geospatial data scientist analyzes spatial data to identify patterns, trends, and insights related to geographic locations. They use tools like GIS software, programming languages such as Python or R, and spatial databases to process and visualize data for decision-making in fields like urban planning, environmental management, and transportation.
More about Geospatial Data Scientist jobs
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Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Geospatial Data Scientist with Security Clearance

B/Core

Fairfax, VA

Other

Posted 4 days ago

Job description

Geospatial Data Scientist McLean, VA TS/SCI with Poly 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 Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational 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. Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business? Do you have a desire to change how people work?

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Geospatial Data Scientist in McLean, Virginia . Responsibilities Responsible for gathering project requirements from the customer and implementing data-driven solutions.

You can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance. Qualifications Required Qualifications: * Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; 7 years of experience with a Master's degree; or 6 years of experience with a Doctorate degree * Python experience to automate data transformation and analysis of geospatial datasets * Experience working with PostgreSQL to extract data from RDBMS * Experience with AWS tools * Linux experience * Experience with API Connections * Comfortable working with all types of geospatial datasets in thick client applications (e.g.

ArcGIS) * Active/current TS/SCI with required polygraph * Willingness to work onsite full time Desired Qualifications * Experience working with R, Tableau * Experience working with NiFi 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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