ZipRecruiter

Log In

1

Geospatial Data Science Jobs in California (NOW HIRING)

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

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 ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

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 ...

Planet

Data Analyst

San Francisco, CA · Hybrid

You will gain first-hand experience in geospatial and enterprise data modeling and analysis. You'll ... Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code ...

Esri

Sr. Generative AI Software Developer

Redlands, CA

$54.75 - $72.50/hr

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 ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Qualifications Master's Degree in Computer Science, Data Science, Statistics, Applied Mathematics ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Qualifications Masters Degree in Computer Science, Data Science, Statistics, Applied Mathematics ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

Qualifications Master's Degree in Computer Science, Data Science, Statistics, Applied Mathematics ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

GeoAcuity LLC

GIS Analyst

Los Angeles, CA · On-site

SDVOSB California DVBE Geospatial Intelligence | UAS Data Collection | Enterprise GIS LOCATION ... Bachelor's degree in GIS, Geography, Geospatial Science, or related field (or equivalent experience ...

Esri

Data Engineer II - Street Data

Redlands, CA

$115K - $138K/yr

Bachelor's degree in Computer Science, Data Engineering, GIS, or related field Recommended Qualifications * Experience with geospatial data formats * Experience with cloud data platforms (such as AWS ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... enhance geospatial data quality capabilities across the ArcGIS platform. The role involves ... science, mathematics, or STEM related field Preferred : • Familiarity and knowledge with C++ in ...

previous page

Showing results 41-60

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 Sep 12, 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:

Geospatial Data Science jobs near you
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.

Associate Data Scientist

San Francisco, CA • On-site

Hayden AI
Software Development • 11 - 50 employees
Learn more about Hayden AIexternal

$69K - $70K/yr

Other

Re-posted 22 days ago

Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

  • Serve as first responder for data discrepancy and freshness issues.

  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

  • 6+ months of Data Science related work, projects or internships.

  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

  • Solid understanding of descriptive statistics and ability to interpret analytical results.

  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

  • Previous experience working with geospatial analytics and spatial datasets.

  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

  • Experience with Grafana or similar operational monitoring tools.

  • Exposure to cloud platforms, especially AWS.

  • Prior experience in a startup environment and a desire to make a significant impact.

#J-18808-Ljbffr

Apply