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Remote Geospatial Data Scientist Jobs in Riverside, CA

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...

Collectorsuniverse

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Data Science on models; and builds the team, tooling, SLAs, and metrics that hold fraud losses down ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... data management * Bachelor's degree in Computer Science, Engineering, or a related field, or ...

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All JobsGeospatial Data Scientist 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 Sep 13, 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 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 key skills and qualifications needed to thrive as a remote geospatial data scientist?

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.

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 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.

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 September 2026, with employment types broken down into 67% Full Time, 15% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Senior Product Analyst - Data & Integration

Santa Ana, CA • On-site, Remote

First American Financial Corporation
Real Estate • 11 - 50 employees
Learn more about First American Financial Corporationexternal

$89K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Who We Are
Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.
What We Do
**Remote Work Welcome**
Join the ranks of visionary technology leaders at First American-where history meets innovation, and tradition fuels transformation. As a Senior Product Analyst - Data & Integration, you'll play a critical role in shaping how customer data powers the future of our sales, marketing, service, and AI capabilities.
This role goes beyond traditional business analysis. You will serve as the strategic bridge between Sales, Marketing, Engineering, and Enterprise Data teams to ensure customer and engagement data are connected, governed, and activated across our Salesforce ecosystem and custom platforms.
We're looking for someone who enjoys solving complex business problems, translating strategy into actionable requirements, and influencing cross-functional teams without direct authority. This is an opportunity to help define the future of enterprise customer data while enabling next-generation digital experiences and AI-powered capabilities.
Be part of a team that's transforming the title and settlement industry through innovation, modern technology, and intelligent customer engagement.
What You'll Do
  • Partner with Marketing, Sales, Data Operations, Engineering, and Enterprise Data teams to define business capabilities supported by Salesforce, Data360, Marketing Cloud, and custom platforms.
  • Lead discovery sessions with business stakeholders to identify customer, engagement, operational, and behavioral data requirements that support sales, marketing, servicing, analytics, and AI capabilities.
  • Partner with business stakeholders to define the business logic, data requirements, and integration patterns that govern how customer and engagement data is captured, transformed, activated, and shared across enterprise platforms.
  • Translate business objectives into scalable business requirements, user stories, process flows, functional specifications, and data mapping documentation that support technical implementation.
  • Collaborate with Engineering and Enterprise Data teams to design scalable, reusable integration patterns that improve platform interoperability, reduce duplicate development, and accelerate delivery.
  • Define business rules supporting customer & engagement data assets across Salesforce and connected platforms.
  • Serve as the liaison between Sales, Marketing, Data Operations, and Engineering teams to ensure enterprise customer data supports current business capabilities and future AI-driven experiences.
  • Support AI-enabled solutions by ensuring customer profile, engagement, and operational data are connected, accessible, and optimized for intelligent automation, predictive insights, and agentic experiences.
  • Collaborate with Product Managers to ensure product roadmaps incorporate enterprise data and integration capabilities while maintaining alignment across Salesforce, marketing technologies, and custom business applications.
  • Continuously evaluate business processes and identify opportunities to improve operational efficiency through automation, reusable integration patterns, and modern platform capabilities.
  • Create and maintain business documentation, including process maps, functional requirements, user stories, acceptance criteria, and integration specifications.

What You'll Bring
  • Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or a related discipline, or equivalent experience.
  • 5+ years of experience leading business analysis, product analysis, or solution analysis within Salesforce or enterprise CRM ecosystems.
  • Experience working with Salesforce Sales Cloud, Service Cloud, Marketing Cloud, and Data360.
  • Experience with customer data platforms such as Segment.
  • Strong understanding of enterprise customer data, data integration, identity resolution, APIs, event-driven architectures, and modern integration patterns.
  • Expertise in requirements gathering, business process analysis, stakeholder facilitation, process modeling, and user story development.
  • Strong understanding of customer data governance, data quality, and business data stewardship.
  • Excellent communication and influencing skills.
  • Experience supporting enterprise AI initiatives, intelligent automation, or customer data activation strategies is preferred.

Preferred Qualifications
  • Salesforce Business Analyst Certification or Salesforce Administrator Certification.
  • Salesforce Data Cloud (Data360) Consultant Certification.
  • Salesforce Agentforce Certification.
  • Experience with MuleSoft or enterprise integration platforms.

Pay Range: $112,400.00 - $149,800.00 Annually
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.
** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **
First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).
First American intends to conduct a review of an applicant's criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.
What We Offer
By choice, we don't simply accept individuality - we embrace it, we support it, and we thrive on it! Our People First culture is inclusive for all employees - not just because it's the right thing to do, but because it's the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.

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