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Natural Disaster Data Scientist Jobs in Riverside, CA

Esri

Product Engineer II - Data Management

Redlands, CA · On-site

$79K - $133K/yr

... disaster recovery. The team works on cutting-edge projects involving massive datasets, scalable ... Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

... disaster recovery strategies • Monitor and tune database performance using industry-standard ... science, mathematics, GIS, or related STEM field Preferred : • Experience with ArcGIS Enterprise ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

... and disaster recovery strategies * Monitor and tune database performance using industry-standard ... Bachelor's degree in computer science, mathematics, GIS, or related STEM field Recommended ...

Quantum Fuel Systems LLC

Director of IT

Lake Forest, CA · On-site

$160K - $190K/yr

... natural gas (RNG), and hydrogen. Based in Lake Forest, California , we're driving clean energy ... disaster recovery planning across all company locations. * Ensure technology practices support data ...

Quantum Fuel Systems LLC

Director of IT

Lake Forest, CA · On-site

$160K - $190K/yr

... natural gas (RNG), and hydrogen. Based in Lake Forest, California , we're driving clean energy ... disaster recovery planning across all company locations. * Ensure technology practices support data ...

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All JobsNatural Disaster Data Scientist JobsNatural Disaster Data Scientist Jobs in Riverside, CA

Natural Disaster Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do natural disaster data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for natural disaster data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

How does a natural disaster data scientist typically collaborate with emergency management teams?

Natural Disaster Data Scientists often work closely with emergency management teams by providing real-time data analysis, predictive modeling, and risk assessment insights. They translate complex datasets—such as weather patterns, seismic activity, and historical disaster occurrences—into actionable recommendations that help teams make informed decisions during crisis situations. Collaboration may involve regular briefings, developing dashboards or visualization tools, and participating in multidisciplinary planning meetings to ensure data-driven strategies are integrated into response efforts. This teamwork is essential for improving preparedness and minimizing the impact of natural disasters.

What are the key skills and qualifications needed to thrive as a natural disaster data scientist?

To thrive as a Natural Disaster Data Scientist, you need expertise in data analysis, statistical modeling, and geospatial techniques, typically supported by a degree in data science, statistics, or a related field. Familiarity with programming languages like Python or R, GIS tools such as ArcGIS or QGIS, and experience with machine learning frameworks are commonly required. Strong problem-solving abilities, effective communication, and collaboration skills help you interpret complex data and convey findings to diverse stakeholders. These skills are crucial for accurately predicting, assessing, and mitigating the impacts of natural disasters to support informed decision-making and public safety.

What is a natural disaster data scientist?

A Natural Disaster Data Scientist is a professional who analyzes large sets of data related to natural disasters such as earthquakes, hurricanes, floods, and wildfires. They use statistical models, machine learning, and other analytical techniques to predict, understand, and mitigate the impact of these disasters. Their work often helps emergency responders, government agencies, and researchers prepare for and respond to natural disasters more effectively. By interpreting satellite images, sensor data, and historical records, they provide valuable insights for disaster risk reduction and management.

What is the difference between Natural Disaster Data Scientist vs Climate Data Analyst?

AspectNatural Disaster Data ScientistClimate Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Environmental Science, or related fieldsBachelor's or Master's in Environmental Science, Climatology, or related fields
Work EnvironmentResearch institutions, government agencies, disaster response organizationsEnvironmental agencies, research institutions, policy organizations
Employer & Industry UsageFocuses on analyzing data related to natural disasters like hurricanes, earthquakes, floodsFocuses on climate patterns, long-term climate change data, and environmental impact

While both roles involve analyzing environmental data, a Natural Disaster Data Scientist specializes in real-time disaster prediction and response data, whereas a Climate Data Analyst focuses on long-term climate trends and environmental impacts. Both roles require strong data analysis skills and environmental knowledge but serve different purposes within the broader field of environmental science.

What are popular job titles related to Natural Disaster Data Scientist jobs in Riverside, CA? For Natural Disaster Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Natural Disaster Data Scientist jobs in Riverside, CA look for? The top searched job categories for Natural Disaster Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Natural Disaster Data Scientist jobs? Cities near Riverside, CA with the most Natural Disaster Data Scientist job openings:
Natural Disaster Data Scientist jobs near you
Infographic showing various Natural Disaster Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, 2% Temporary, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Product Engineer II - Data Management

Esri

Redlands, CA • On-site

$79K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Overview
Join our enterprise data management development team to build next-generation technologies that power server, desktop, and mobile applications working with rich spatial information models. We design and build scalable infrastructure for relational and NoSQL databases across Kubernetes, Linux, and Windows environments, with full support for high availability and disaster recovery. The team works on cutting-edge projects involving massive datasets, scalable architectures, AI-powered capabilities, and a diverse computational platform.
Responsibilities
  • Work with users and industry experts to identify user requirements and customer workflows
  • Work with top software engineers to envision, design, build, test, release, and support desktop and enterprise products
  • Collaborate with software engineers, product engineers, and other stakeholders to build and test ArcGIS functionality related to databases, networks, and link analysis capabilities
  • Work on building core data storage and management framework to support ArcGIS relational and NoSQL information models on premises or in the cloud.
  • Play a major part in the development process by determining product quality and release readiness

Requirements
  • 2+ years of software testing experience
  • Experience using an application development language, such as C++, C#, Java, JS, and/or Python
  • Excellent written and verbal communication skills
  • Familiarity with DBMSs & SQL
  • Strong analytical and problem-solving skills
  • Ability to manage priorities and tasks as needed in a fast-paced work environment
  • Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics, or related field

Recommended Qualifications
  • Understanding of cloud platforms and services such as AWS S3, AWS RDS for PostgreSQL, Azure Blob Storage, and Azure Database for PostgreSQL
  • Previous involvement in a large software development project
  • Academic training in GIS and/or knowledge of GIS/Esri software
  • Familiarity with Kubernetes, Docker, and/or cloud deployment technologies
  • Master's degree in computer science, engineering, or related field

#LI-TA1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$79,664-$133,120 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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Benefits

Hours and flexibility

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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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