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Spatial Statistics Jobs in California (NOW HIRING)

Apple

Data Scientist

Cupertino, CA · On-site

... statistical techniques to find solutions Solid communication and presentation skills Preferred Qualifications Prior industry experience with AB testing and causal inference Experience with spatial ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... statistical quality metrics to optimize the signal-to-noise ratio of our training pipelines ... spatial-temporal data. • Proven track record designing or training multimodal systems, large ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... statistical quality metrics to optimize the signal-to-noise ratio of our training pipelines ... spatial-temporal data. • Proven track record designing or training multimodal systems, large ...

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Spatial Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do spatial statistics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for spatial statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a spatial statistics?

A Spatial Statistics job involves analyzing and interpreting spatial data to identify patterns, relationships, and trends across geographic space. Professionals in this field use statistical techniques, geographic information systems (GIS), and data modeling to support decision-making in areas such as environmental science, urban planning, public health, and transportation. They work with large datasets, apply geostatistical methods, and create visual representations like maps and heatmaps. Common roles include spatial data analyst, GIS specialist, and environmental statistician.

What does a spatial statistics professional do?

Spatial Statistics professionals often work on projects involving the collection, analysis, and interpretation of location-based data to identify patterns, trends, and relationships within geographic spaces. Daily tasks can include cleaning and integrating spatial datasets, developing statistical models, running geospatial analyses, and creating maps or visualizations to communicate findings. Collaboration with urban planners, environmental scientists, data scientists, or public health professionals is common to solve real-world problems using spatial insight. The work environment can be a blend of independent data analysis and teamwork, and many positions offer opportunities for growth into project management, advanced analytics, or GIS leadership roles.

What are the key skills and qualifications needed to thrive in the spatial statistics position?

To thrive in a Spatial Statistics role, you need a solid background in advanced mathematics, statistical modeling, and spatial data analysis, typically with a degree in statistics, geography, or a related quantitative field. Familiarity with GIS software (e.g., ArcGIS, QGIS), statistical programming languages (such as R or Python), and spatial databases is essential, and certifications in GIS or data science can be advantageous. Strong problem-solving skills, effective communication, and attention to detail enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for analyzing geospatial patterns, presenting actionable insights, and supporting data-driven decision-making across various industries.

What are the most commonly searched types of Spatial Statistics jobs in California?

The most popular types of Spatial Statistics jobs in California are:

What are popular job titles related to Spatial Statistics jobs in California?

For Spatial Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Spatial Statistics jobs in California look for?

The top searched job categories for Spatial Statistics jobs in California are:

Spatial Statistics jobs near you
Infographic showing various Spatial Statistics job openings in California as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Staff Product Data Scientist, Experimentation

Waymo

San Francisco, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

In this hybrid role, you will report to a Staff Product Data Scientist.

You will:

  • Define the science roadmap for Waymo's marketplace experimentation platform
  • Develop advanced testing methodologies to solve for physical-world dynamics like network effects and spatial-temporal correlations
  • Establish rigorous best practices for experiment design and evaluation across the broader product organization
  • Partner with engineering to translate algorithmic logic into automated, production-grade pipelines
  • Act as the primary domain expert on causal inference, providing technical leadership and translating complex results into clear product strategy

You have:

  • An advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science)
  • 8+ years of industry experience with a deep focus on causal inference, experimental design, and applied statistics
  • Proficiency in SQL and Python, with a track record of partnering with engineering to build automated experimentation tools
  • Strong product sense and the ability to explain technical concepts to non-technical stakeholders

We prefer:

  • Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery)
  • Familiarity with core marketplace systems (e.g., pricing, matching)
  • Experience integrating algorithmic methods into large-scale internal platforms

Apply