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Spatial Statistics Jobs in California (NOW HIRING)

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

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... spatial) and epigenomics * Analyze data and develop interpretation reports for all facets of our ... Provide analytical and statistical rigor to empower better decision making during experimental ...

Research Scientist

Pasadena, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with the bioinformatics, computation, and statistics PIs and staff to help ensure smooth ... spatial transcriptomic assay platforms. * Have interest, experience, and desire to work as part of ...

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 ...

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 ...

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 ...

Showing results 41-60

Spatial Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do spatial statistics jobs pay per year?

As of Aug 16, 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:

Infographic showing various Spatial Statistics job openings in California as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Data Scientist

Apple

Cupertino, CA • On-site

Full-time

Re-posted 12 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.
Description
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating routing service quality, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for routing data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more.
Minimum Qualifications
MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain
3+ years experience with data analysis at web scale or relevant work experience
Proficient in at least one programming/scripting language (e.g., Python, Scala, Java)
Proficient in at least one database language (e.g., SQL)
Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
Solid communication and presentation skills
Preferred Qualifications
Prior industry experience with AB testing and causal inference
Experience with spatial data analysis
Prior proven industry experience with large data sets using technologies like Hadoop and Spark
Experience writing pipelines for automating analytics tasks at scale
Domain-specific knowledge of the mapping/transportation/GIS industry
Experience mentoring junior data scientists and leading projects of varying sizes and scopes

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976