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Spatial Data Science Jobs in California (NOW HIRING)

ERRG

GIS Specialist

Martinez, CA

... spatial data creation, maintenance and dissemination, end-user support and the generation of maps ... Frequently interact with technical staff members (e.g., engineers, geologists, and scientists) to ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

... spatial coordinates, time series, molecular structures, metadata, preprints and published papers ... Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site

$214K - $294K/yr

... spatial coordinates, time series, molecular structures, metadata, preprints and published papers ... Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate ...

Esri

Sr. Product Engineer - Geodatabase

Redlands, CA · On-site

Join our team if you have a passion for working with databases and spatial data! Esri has a ... Bachelor's degree in geography, GIS, computer science, engineering, or related fields Recommended ...

CYNET SYSTEMS

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a ... Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site +1

... images, spatial coordinates, time series, molecular structures, metadata, publication artifacts ... Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the ...

AllSTEM Connections

Business Analyst II

Santa Ana, CA · On-site

$33K - $72K/yr

Spatial Data & Asset Integrity Analyst Role Overview We are seeking a detail-oriented Spatial Data ... Bachelor's degree in Geography, Engineering, IT, Computer Science, or a related field. • ...

Zoox

Data Scientist, Behavior Evaluation

Foster City, CA · On-site

$176K - $240K/yr

... Data Science, Operations Research, or a related field with a strong statistical focus ... Experience analyzing spatial-temporal data, sensor logs, or vehicle telemetry from robotics ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in California

Spatial Data Science information

See California salary details

$43.9K

$128K

$175.2K

How much do spatial data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for spatial data science in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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.
What are popular job titles related to Spatial Data Science jobs in California? For Spatial Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in California look for? The top searched job categories for Spatial Data Science jobs in California are:
What cities in California are hiring for Spatial Data Science jobs? Cities in California with the most Spatial Data Science job openings:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in California as of July 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

GIS Specialist

ERRG

Martinez, CA

Other

Posted 18 days ago

Job description

About the Role

GIS Specialist will compile and organize data from maps, databases, field surveys, and other sources to generate maps for various environmental projects. This position will predominantly be office GIS assignments but may include data collection related field work tasks on occasion. 

What You'll Do

  • Assist with performing environmental work involving collection of environmental data from site investigations and oversight of construction activities.
  • Assist with spatial data creation, maintenance and dissemination, end-user support and the generation of maps and other GIS information and products.
  • Assist in preparing topographical and relief maps in ArcGIS using survey data.
  • Compile and organize GIS data from maps, databases, and other sources.
  • Frequently interact with technical staff members (e.g., engineers, geologists, and scientists) to assess their GIS/mapping needs and update them on the status of their map generation requests.
  • Provide support to (backstops) others during peak workload events.
  • Performs quality control on GIS data.
  • Accept responsibility for meeting standards of quality required by ERRG.
  • Meet internal deadlines.
  • Work effectively, both independently and as part of a dynamic team.
  • Assist in development and maintenance of company-wide templates and mapping standards.
  • Communicate effectively with others; ask appropriate questions to clarify expectations and promote learning.
  • Adhere to project-specific and corporate-wide safety policies.
  • Learn and follow appropriate data standards requested by clients, such as the Department of Defense's Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) and the Federal Geographic Data Committee (FGDC) Standards for metadata.

What You Bring

  • Bachelor's degree from a 4-year college or university.
  • 5+ years of industry-related experience.
  • Familiarity with ArcGIS Online and apps.
  • Proficiency using ArcGIS Pro and ArcMap.
  • Basic knowledge of SQL and/or Python programming languages.
  • Familiarity with Trimble Pathfinder Office software, Trimble GPS units and field data collectors.
  • Proficiency with Microsoft software (Excel, Access and/or SQL Server).
  • Ability to work on multiple projects simultaneously.
  • Understanding basic geographic principles, including projections and transformations.
  • Excellent written and oral communication skills.

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