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Geospatial Data Science Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Data Engineer II - Street Data

Redlands, CA · On-site

$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 ...

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 ...

Showing results 41-60

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.

$120 - $210/hr

Other

Posted 3 days ago

New


Job description

Join the Clean Energy Revolution

Becomea Data Scientist Advisorat Southern California Edison (SCE) and build a better tomorrow. In this job, you’llpartner closely with business and operational teams across the enterprise to identify, design, and deliver data-driven solutions that improve safety, efficiency, reliability, and cost effectiveness. You will support a diverse portfolio of use cases by working across the full data science lifecycle from problem discovery and data exploration through model development and deployment. You will apply strong technical and analytical skills in a pragmatic environment, where success depends on both modeling expertise and the ability to translate business problems into actionable and production-ready solutions. In addition to delivering individual use cases, you will also play a key part in evolving data science infrastructure, enhancing data science capabilities, building tools, and establishing best practices.

Asa Data Scientist Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities
  • Cooperates with various stakeholders across the organization to understand and define solutions for complex, data-intensive business problems requiring advanced analytics.
  • Facilitates the development of predictive and prescriptive models using cutting-edge techniques to derive impactful insights and guide data-driven decision making.
  • Identifies and implements new data collection sources and methods to build robust datasets for modeling. Leads data preparation and integration processes for large, varied datasets; ensures data quality and integrity.
  • Drives selection and preparation of data tailored to specific business use cases and analytics projects. Leads development and enhancement of advanced analytical models using statistical, algorithmic, data mining and visualization techniques to uncover insights.
  • Improves existing quantitative models leveraging latest analytical tools and techniques using novel AI/ML trends.
  • Performs sophisticated analytics and translates outputs into understandable, actionable insights and recommendations for stakeholders.
  • Researches industry trends and emerging tools, methods and models; provides insights on their potential business application and adoption.
  • Continues developing data science relationships and participating in industry groups and events to stay current on techniques.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
Minimum Qualifications
  • Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
  • Five or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

Preferred Qualifications

  • Intensive experience developing and deploying advanced AI solutions, with significant expertise in computer vision, including image and video analytics, object detection, classification, segmentation, anomaly detection, and multimodal AI applications in production environments.
  • Experience designing, implementing, and operationalizing Generative AI and Agentic AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), AI orchestration frameworks, autonomous workflows, and multi-agent systems that deliver measurable business value.
  • Experience leading the end-to-end AI/ML lifecycle, including problem formulation, solution design, data exploration, feature engineering, model development, evaluation, deployment, monitoring, and ongoing model lifecycle management in production environments.
  • Experience with MLOps and cloud-based AI/ML platforms (e.g., GCP, Azure, AWS), including scalable data and model pipelines, CI/CD processes, model governance, automated retraining, performance monitoring, and production support.
  • Experience working with diverse data modalities, including structured and time-series data, imagery, video, LiDAR or geospatial datasets, text, audio, and other unstructured data sources.
  • Strong consulting, communication, and stakeholder engagement skills, including experience leading problem discovery discussions, translating complex business challenges into well-scoped AI solutions, and influencing technical and business decision-making across cross-functional teams.
  • Demonstrated operational mindset with the ability to balance technical rigor, innovation scalability, reliability, cybersecurity, cost, timelines, data quality, and evolving business priorities when delivering enterprise AI/ML solutions.
  • Experience providing technical leadership for complex AI/ML initiatives, including influencing solution architecture, establishing best practices and technical standards, mentoring data scientists, and driving adoption of scalable AI capabilities across multiple projects and teams.

Additional Information

  • This position’s work mode ishybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work andreside in the state of California.
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Rosemead, CA. However, the successful candidate may also be asked to work at alternate locations within the SCE service territory as needed.
  • Relocation does not apply to this position.

About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.

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