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Geospatial Data Science Jobs in California (NOW HIRING)

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

... of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design ... science, mathematics, or STEM related field Preferred : • Familiarity and knowledge with C++ in ...

Hayden AI

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Master's or PhD in Data Science, Transportation, or a related field. * Previous experience working with geospatial analytics and spatial datasets. * Experience with large-scale time-series and ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design ... science, mathematics, or STEM related field Preferred : • Familiarity and knowledge with C++ in ...

SuperbTech,Inc.

GIS Analyst

Whittier, CA

$45 - $55/hr

... geospatial information * Troubleshoot data issues and recommend process improvements Required Qualifications * Bachelor's degree in GIS, Geography, Engineering, Computer Science , or a related field ...

SuperbTech

GIS Analyst

Whittier, CA · On-site

$45 - $55/hr

... geospatial information * Troubleshoot data issues and recommend process improvements Job Requirements Required Qualifications * Bachelor's degree in GIS, Geography, Engineering, Computer Science , or ...

SuperbTech

GIS Analyst

Whittier, CA · On-site

$45 - $55/hr

... geospatial information * Troubleshoot data issues and recommend process improvements Required Qualifications * Bachelor's degree in GIS, Geography, Engineering, Computer Science , or a related field ...

SuperbTech

GIS Analyst

Whittier, CA

$45 - $55/hr

... geospatial information * Troubleshoot data issues and recommend process improvements Required Qualifications * Bachelor's degree in GIS, Geography, Engineering, Computer Science , or a related field ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

If you are passionate about geospatial technologies, AI-driven data quality management, and ... Bachelor's degree in computer science, mathematics, or STEM related field Recommended ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in California

Geospatial Data Science information

See California salary details

$21.7K

$76.5K

$120.4K

How much do geospatial data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for geospatial data science in California is $76,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $79,000.00 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.
What are the most commonly searched types of Geospatial Data Science jobs in California? The most popular types of Geospatial Data Science jobs in California are:
What are popular job titles related to Geospatial Data Science jobs in California? For Geospatial Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in California look for? The top searched job categories for Geospatial Data Science jobs in California are:
What cities in California are hiring for Geospatial Data Science jobs? Cities in California with the most Geospatial Data Science job openings:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,480 per year, or $36.8 per hour.
Sr. Generative AI Software Developer

Sr. Generative AI Software Developer

Esri

Redlands, CA • On-site

$54.75 - $72.50/hr

Full-time

Re-posted 23 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Job Summary:
Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop software used by organizations across diverse markets to ensure quality and consistency in their geospatial data holdings.
Responsibilities:
• Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
• Build software that follows industry-standard design patterns, development methodologies, and deployment models
• Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
• Build scalable ML pipelines and data engineering processes to improve overall system architecture
• Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
• Work effectively in an Agile Scrum team environment and iterative development cycles
Qualifications:
Required:
• 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
• Strong understanding of object-oriented principles, software architecture, and API design
• Ability to analyze software/algorithms and identify improvements
• Experience with software development using Python, ML frameworks and RAG systems
• Bachelor's degree in computer science, mathematics, or STEM related field
Preferred:
• Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
• Experience analyzing large geospatial datasets and working with vector databases
• Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
• Experience in developing REST based services and cloud deployment patterns
• Understanding of key AI concepts, model evaluation and agentic workflows
• Experience with Agile development methodologies and CI/CD pipelines
• Master's degree in computer science, mathematics, or STEM related field
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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