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Remote Geospatial Data Scientist Jobs in Riverside, CA

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 ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Crown Innovations, Inc.

AutoCAD Draftsman

Ontario, CA · On-site +1

$34.62 - $40/hr

This role focuses on translating field-collected geospatial survey data into accurate AutoCAD ... remote field teams supporting airport infrastructure projects Compensation Hourly Rate Range: $34 ...

Crown Innovations, Inc.

AutoCAD Draftsman

Ontario, CA · On-site +1

This role focuses on translating field-collected geospatial survey data into accurate AutoCAD ... remote field teams supporting airport infrastructure projects Compensation Hourly Rate Range: $34 ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

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All JobsRemote Geospatial Data Scientist JobsRemote Geospatial Data Scientist Jobs in Riverside, CA

Remote Geospatial Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do remote geospatial data scientist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote geospatial data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

How do Remote Geospatial Data Scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Geospatial Data Scientist, and why are they important?

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

What is a Remote Geospatial Data Scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.
What are the most commonly searched types of Geospatial Data Scientist jobs in Riverside, CA? The most popular types of Geospatial Data Scientist jobs in Riverside, CA are:
What job categories do people searching Remote Geospatial Data Scientist jobs in Riverside, CA look for? The top searched job categories for Remote Geospatial Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Geospatial Data Scientist jobs? Cities near Riverside, CA with the most Remote Geospatial Data Scientist job openings:
Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Riverside, CA as of June 2026, with employment types broken down into 95% Full Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.
Sr. Software Development Engineer - Gen AI

Sr. Software Development Engineer - Gen AI

Esri

Redlands, CA • On-site, Remote

$123K - $162K/yr

Other

Posted 24 days ago

Job description

Overview

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.

In this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world.

As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.

Responsibilities

  • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
  • Build software that follows industry-standard design patterns, development methodologies, and deployment models
  • Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
  • Build scalable ML pipelines and data engineering processes to improve overall system architecture
  • Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
  • Work effectively in an Agile Scrum team environment and iterative development cycles

Requirements

  • 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
  • Strong understanding of object-oriented principles, software architecture, and API design
  • Ability to analyze software/algorithms and identify improvements
  • Experience with software development using Python, ML frameworks and RAG systems
  • Bachelor's degree in computer science, mathematics, or STEM related field

Recommended Qualifications

  • Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
  • Experience analyzing large geospatial datasets and working with vector databases
  • Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
  • Experience in developing REST based services and cloud deployment patterns
  • Understanding of key AI concepts, model evaluation and agentic workflows
  • Experience with Agile development methodologies and CI/CD pipelines
  • Master's degree in computer science, mathematics, or STEM related field

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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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