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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 Prior industry experience with AB testing and causal inferenceExperience with spatial data analysis Prior proven ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

... spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media ... Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 ...

Esri

Product Engineer II - 3D Analyst Team

Redlands, CA · On-site

$79K - $133K/yr

Overview Come use your enthusiasm and knowledge of 3D spatial analytics to help develop world-class ... or statistics Recommended Qualifications * Experience with ArcGIS * Scripting/programming with ...

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Spatial Statistics information

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$40K

$82.6K

$115.5K

How much do spatial statistics jobs pay per year?

As of Jun 13, 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 job?

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 job makes $10,000 a month without a degree?

In the field of spatial statistics, high-paying roles such as freelance consultants or data analysts can earn around $10,000 per month through specialized skills in geographic information systems (GIS), statistical software, and data modeling. These positions often require expertise and experience rather than formal degrees, and they may involve remote work or contract-based projects.

What are the key skills and qualifications needed to thrive in the Spatial Statistics position, and why are they important?

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 jobs in the US pay 300,000 a year?

In the field of spatial statistics, senior roles such as lead data scientist or chief data officer can reach or exceed a $300,000 annual salary, especially with extensive experience, advanced skills in GIS software, and a strong understanding of statistical modeling. High-level positions in data-driven industries like technology, finance, or government agencies tend to offer such compensation levels.

What does a spatial analyst do?

A spatial analyst uses geographic information systems (GIS) and spatial data to analyze patterns, relationships, and trends in geographic space. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Proficiency in GIS software and spatial statistics is essential for this role.

Is GIS a high demand job?

GIS (Geographic Information Systems) specialists, including those with skills in spatial statistics, are in high demand across industries such as urban planning, environmental management, and transportation. The growing use of spatial data analysis and GIS tools like ArcGIS and QGIS contributes to strong job opportunities and career growth in this field.

What are some typical projects or tasks a Spatial Statistics professional might handle on a daily basis?

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 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
Software Developer II - Conflation, ArcGIS Pro

Software Developer II - Conflation, ArcGIS Pro

Esri

Redlands, CA • On-site

Other

Posted 27 days ago

Job description

Overview

If you have great programming skills, dream about using your talent and experiences in a global influencer organization, and are passionate about developing tools and workflows that solve complex problems, join us! Our team works on feature matching, change detection, attributes transfer, spatial adjustments, and more. This is a great opportunity to work with a dedicated team as we support worldwide customers who are maintaining and updating their geographic databases from multiple sources for accurate spatial analysis and multi-scale quality mapping.

Come join the Conflation project team in Spatial Analysis and Geoprocessing to make a difference in the GIS community! 

Responsibilities

  • Assist with speeding up the research, development, and enhancements of conflation tools and workflows for ArcGIS Pro with state-of-the-art intelligence and techniques
  • Build conflation tools using new or enhanced algorithms that allow users to reconcile differences and apply changes among multiple data sources efficiently
  • Build and ship quality software by working effectively in a highly interactive and coordinated team environment
  • Use pattern recognition, similarity analysis, statistical measures, and other computational geometry techniques in conflation processes to produce reliable results
  • Participate in research and development of new ideas and approaches that match or exceed the existing quality
  • Research and implement strategies and processes to ensure scalability for large data volume
  • Explore the use of progressive or optimization approaches to improve conflation accuracy
  • Explore on hybrid methods and tools for conflation with additional data sources, such as imagery, lidar, GPS
  • Ultimately help build and deliver an integrated conflation management system
  • Follow design patterns, development methodologies, and deployment techniques using C++
  • Find, analyze, and fix bugs and performance problems whenever they occur in the software
  • Contribute to and run tests to ensure high quality development free of regressions

Requirements

  • 2+ years of experience in C/C++/C# or related software development languages
  • Firm understanding of object-oriented design, data structures, and design patterns
  • Experience with computational geometry and algorithms
  • Ability to clearly analyze and describe problems, and propose solutions
  • The ability and knowledge to solve complex spatial problems
  • Knowledge of progressive and optimization approaches
  • Knowledge of asynchronous programming patterns and parallel processing methods
  • Friendly, respectful, and open-minded attitude and ability to work closely with a team of software developers, product engineers, and others to build quality software and meet the demands
  • Bachelor's degree in Computer Science, Computational Science, Mathematics, or related field

Recommended Qualifications

  • Master's or PhD degree in Computer Science, Computational Science, Mathematics, or related field
  • Familiarity with Esri products or similar GIS software
  • Experience with the development and release of commercial software products
  • Experience in data quality, data integration, and spatial analysis
  • Knowledge of cartography and multi-scale mapping
  • Knowledge about machine learning or AI
  • Knowledge of scripting languages like Python
  • Experience writing testable (or test-driven) software

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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