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Spatial Data Science Jobs (NOW HIRING)

Data Scientist

Boston, MA · On-site

$74K - $88K/yr

Responsibilities Develop, update, and refine model input data in spatial data formats. Contribute ... computer science, data analytics, data science, statistics, mathematics, engineering or related ...

With experts in biomedical science, software engineering, and program management, we focus on ... Support figure generation for QC, differential expression, pathway, and spatial analyses.

With experts in biomedical science, software engineering, and program management, we focus on ... Support figure generation for QC, differential expression, pathway, and spatial analyses.

With experts in biomedical science, software engineering, and program management, we focus on ... Support figure generation for QC, differential expression, pathway, and spatial analyses.

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... science, physics, or a STEM related field Recommended Qualifications * Experience with spatial and ...

Agentic Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

... in data science. * Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks ... Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo ...

Design and implement models to assess and predict environmental exposure across spatial and ... Integrate multi-source spatiotemporal big data and employ machine learning/AI, network analysis ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Spatial statistics and analysis * Big data processing tools * Version control systems (Git)

Play a leading role in matrix teams such as Translational Data Science Clusters around disease areas or teams centered around key technologies such as genomics, proteomics, spatial technologies etc.

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Spatial statistics and analysis * Big data processing tools * Version control systems (Git)

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Spatial statistics and analysis * Big data processing tools * Version control systems (Git)

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Spatial Data Science information

See salary details

$44.5K

$129.7K

$177.5K

How much do spatial data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for spatial data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
More about Spatial Data Science jobs
What cities are hiring for Spatial Data Science jobs? Cities with the most Spatial Data Science job openings:
What states have the most Spatial Data Science jobs? States with the most job openings for Spatial Data Science jobs include:
What job categories do people searching Spatial Data Science jobs look for? The top searched job categories for Spatial Data Science jobs are:
Infographic showing various Spatial Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$74K - $88K/yr

Full-time

Posted 7 days ago


Job description

Description The Boston Region Metropolitan Planning Organization (MPO) seeks a Data Scientist-Model Developer to research, design, implement, adapt, and maintain models of travel behavior and transportation systems in various platforms. The Data Scientist-Model Developer will join a team at the forefront of advancing the state of the practice in transportation modeling, designing, building, and maintaining critical tools that support transportation planning across the Boston Region and Massachusetts. In this role, you will have the opportunity to apply innovative modeling techniques, including exploratory modeling, to address complex transportation challenges and inform key decisions.

If you are driven to produce quality work, passionate about the power of models, and committed to ensuring stakeholders understand and utilize these tools effectively, we encourage you to apply. Responsibilities Develop, update, and refine model input data in spatial data formats. Contribute as a key team member on the development and maintenance of custom software applications to support transportation modeling.

Perform research and participate in the development of modeling features related to emerging transportation technologies, transformative modes, and shared mobilities. Ensure that transportation modeling tools and analytical capabilities are credible and effective for policy analysis; participate in quality assurance and quality control processes. Work collaboratively to advance the state of the practice for transportation tools at the agency.

Work from functional specifications and requirements produced by transportation modelers and translate those into efficient, flexible scripts with error handling, testability, and user-centered features. Qualifications While the following sections describe required and desirable qualifications, candidates who believe that their particular experience and skills fulfill the requirements are encouraged to apply. Required A desire to help build an equitable, sustainable, and resilient transportation system for the Boston region Advanced degree in transportation modeling, computer science, data analytics, data science, statistics, mathematics, engineering or related field, and 1-3 years of experience using the required skills or comparable skills Excellent ability to think logically and algorithmically in clear, cogent software design and well-documented code using Python, GitHub, and is familiar with AI supported programming approaches.

Experience conducting statistical analysis of datasets, extracting useful information, and fitting mathematical models to describe the data to be programmed into a larger process Experience using data management, procedure development, and data visualization in either R or Python (preferably both) Effective work prioritization, time management, and collaboration skills Facility with version-control software like GitHub and methods Excellent problem solving and analytical skills Effective written and verbal communication skills Preferred A passion to learn new analytical skills and share knowledge with the team Experience using travel demand modeling software, such as TransCAD, to support large, complex model development and applications projects Strong understanding of econometric and demand models, use and purpose of market segmentation, and interpreting model estimators in the context of behavioral theory Experience building and maintaining code environments for development and production Compensation and Benefits This is a full-time position and the starting salary range is $74,000 - $88,000 annually, contingent upon qualifications and experience. The agency offers excellent Massachusetts state employee benefits; a flexible, supportive work environment; and a commitment to ongoing professional development. The Boston Region MPO reserves the right to fill more than one position through this recruitment should organizational needs and available resources support doing so.