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Geospatial Data Science Jobs in California (NOW HIRING)

Koniag, Inc.

Navy SEPASS Data Scientist

Monterey, CA · On-site

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 ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

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 ...

kgs

Navy SEPASS Data Scientist

Monterey, CA

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 ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

... science (NumPy, SciPy, Matplotlib). Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and ...

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 ...

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 ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$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 ...

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 ...

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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 Jun 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.

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 June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $76,480 per year, or $36.8 per hour.
Technical Product Manager, 3D Geospatial Products

Technical Product Manager, 3D Geospatial Products

Array Labs

Redwood City, CA

$204K - $236K/yr

Other

Medical, Dental, Vision, Retirement

Posted 25 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

About the Job

Array is looking for a product leader to define and deliver the next generation of 3D geospatial data products.

As Product Manager, 3D Geospatial Products, you will own the product vision and roadmap for turning optical and radar satellite imagery into market-ready 3D products. You will determine what we build, what performance levels matter, how customers evaluate quality, and how we prioritize across collection strategy, reconstruction algorithms, data processing pipelines, APIs, data formats, visualization, and analytics.

Array's 3D products will be built from multiple forms of imagery and collection geometry, including stereo collections, multi-pass imagery, radar imagery, optical imagery, and fused optical/radar data. You will work at the intersection of customer need, technical feasibility, data production, and software delivery, helping Array translate a fundamentally new sensing capability into repeatable products customers can understand, buy, evaluate, and use.

You will work closely with software engineering, algorithms, mission operations, program management, business development, and the executive team to ensure Array builds the right products, sequences them intelligently, and delivers them with the quality, reliability, and usability required for commercial and government adoption.

Responsibilities
  • Own the roadmap for Array's 3D geospatial data products, including products derived from optical imagery, radar imagery, stereo collections, multi-view collections, and optical/radar fusion
  • Define product requirements for 3D data products, including resolution, accuracy, coverage, latency, update rate, metadata, validation approach, delivery format, and customer-facing evaluation criteria
  • Translate customer needs into clear product specifications, roadmap priorities, technical tradeoffs, and product decisions
  • Partner with algorithms and software engineering teams to prioritize reconstruction methods, processing pipelines, quality-control systems, and data delivery capabilities
  • Work with go-to-market, business development, and program teams to support customer discovery, product demonstrations, data evaluations, proposals, early deployments, and feedback loops
  • Define and track product metrics tied to customer adoption, delivery performance, data quality, product reliability, and business outcomes
  • Write and maintain product requirements, roadmap documents, customer-facing product definitions, evaluation plans, and internal decision memos
Basic Qualifications
  • 5+ years of experience in product management, technical product management, solutions engineering, or related roles
  • Experience working with technical, data-heavy, geospatial, imagery, or software products
  • Ability to translate customer needs into clear product requirements
  • Strong cross-functional communication skills across engineering, business, and operations teams
  • Strong written and verbal communication skills
  • Bachelor's degree in computer science, engineering, geospatial science, or equivalent experience
  • Ability to travel as needed
Preferred Skills & Experience
  • Experience with photogrammetry, stereo imagery, multi-view reconstruction, LiDAR, point clouds, meshes, DEMs, DSMs, or other 3D geospatial data products.
  • Experience with satellite imagery, aerial imagery, radar, SAR, Earth observation, or other remote sensing systems.
  • Experience launching a net-new imagery, mapping, analytics, data platform, or geospatial product.
  • Experience with data-centric products, including APIs, data pipelines, cloud processing systems, visualization platforms, geospatial file formats, and customer data delivery workflows.
  • Proficiency with Python, SQL, GIS tools, or other tools commonly used in data-heavy or imagery-based workflows.
  • Experience working with commercial enterprises using geospatial data in markets such as infrastructure, utilities, mining, insurance, mapping, telecommunications, agriculture, or energy.
  • Prior experience working with the Department of War, Intelligence Community, civil government, or national security customers.
  • Familiarity with AI, automation, or machine learning applied to geospatial, imagery, or physical-world data workflows.
  • Experience working in a startup or fast-moving technical organization where product definition, customer discovery, and engineering execution happen in parallel.
$150,000 - $250,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.
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