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Geospatial Data Science Jobs in California (NOW HIRING)

The ideal candidate will bring extensive experience in data science, machine learning, and geospatial software development. This role requires someone who can lead complex analytical projects, mentor ...

The ideal candidate will bring extensive experience in data science, machine learning, and geospatial software development. This role requires someone who can lead complex analytical projects, mentor ...

Navy SEPASS Data Scientist

Monterey, CA · On-site

$195K - $205K/yr

The ideal candidate will bring extensive experience in data science, machine learning, and geospatial software development. This role requires someone who can lead complex analytical projects, mentor ...

Software Engineer

El Segundo, CA · On-site

$150 - $200/hr

Integrate geospatial services and APIs into operational software systems * Collaborate with algorithm developers and data scientists to translate research capabilities into production software

Required : • Master's or PhD in Data Science, Statistics, Computer Science, Economics, or a ... geospatial analytics and processing spatial datasets. • Experience working with large-scale time ...

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a ... Previous experience working with geospatial analytics and spatial datasets. * Experience with large ...

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... Responsibilities: * Automate data extraction from extensive geospatial datasets to build ...

Showing results 21-40

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 Aug 23, 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.

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 key skills and qualifications needed to thrive as a geospatial data scientist?

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.

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 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:

Infographic showing various Geospatial Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,480 per year, or $36.8 per hour.

Navy SEPASS Data Scientist

kgs

Monterey, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data science, machine learning, and geospatial software development. This role requires someone who can lead complex analytical projects, mentor team members, and develop innovative solutions using cutting-edge spatial analysis techniques and programming frameworks. This position requires an active TS/SCI clearance.

We offer competitive compensation and an exceptional benefits package, including health, dental, and vision insurance, a 401 (k) with company matching, flexible spending accounts, paid holidays, three weeks of paid time off, and more.

Education and Experience:

  • Bachelor of Science degree: 8-10 years of experience in a related field.
  • Master of Science degree: 6-8 years of experience in a related field.
  • PhD: 3-5 years of experience in a related field

Essential responsibilities, Functions, & Duties

  • The Lead Data Scientist will provide Geospatial Information System (GIS) support as required to produce Geospatial Intelligence (GEOINT) products and web services.
  • The Lead Data Scientist will provide software application programming support as required for Surf Eagle operational production and dissemination requirements.
  • improving operational production methods that utilize geospatial technologies and scientific principles to transition new capabilities to support both internal and external Surf Eagle requirements.
  • The Lead Data Scientist will monitor all automated GIS production workflows daily, troubleshoot and correct issues when found, and report the status as directed.
  • The Lead Data Scientist will implement applicable software application programming standards to improve interoperability of products and applications in accordance with the most current DoD Application STIGs.
  • The contractor will ensure all GIS products, applications, and web services are technically sound and adhere to relevant DoD and IC approved standards and regulations as defined in the NSG Standards Registry
  • The Lead Data Scientist will collaborate with system administrators, database administrators and analyst experts to transition GIS products, applications, and web services to operations

Required Skills and Competencies:

  • Work independently or as part of a team as needed.
  • Proficiency using various methods for infusing METOC and intelligence data to produce and monitor applications, products and web services that answer specific spatial questions using multidimensional visualization, and modeling methods.
  • Understanding of GIS analysis methodologies, automated workflows and mapping solutions, customized GIS toolsets, spatial visualization of derived data, and all of the standard associated Software Development Life Cycle (SDLC) documentation (i.e. Project Plan, CONOPS, Functional Design Documents, Software Architecture Plans, System Requirements Specifications, Database Design Documents, Test Plans, User Acceptance Test Plans, etc.)
  • Understanding of NSG Metadata Implementation Specifications (NMIS), World Wide Web Consortium (W3C), Open Geospatial Consortium (OGC), International Standards Organization (ISO) 19000 series for geographic information, GIS quality standards, Intelligence Community Marking System Register and Manual Security /Classification markings and other established design policies for GIS management.
  • Strong analytical and problem-solving skills
  • Excellent communication abilities

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352.