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Natural Disaster Data Scientist Jobs in Riverside, CA

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into ... natural language processing and text analytics for innovative AI applications - Building and ...

Esri

Consultant - Natural Resources

Redlands, CA · On-site

... natural resources, land-use planning, and geo-design. The team you will work with is collaborative ... and data science, 3D visualization and analytics, data management, and developer APIs

Esri

Consultant - Natural Resources

Redlands, CA · On-site

$84K - $142K/yr

... natural resources, land-use planning, and geo-design. The team you will work with is collaborative ... and data science, 3D visualization and analytics, data management, and developer APIs

Esri

Sr. Consultant - Natural Resources

Redlands, CA · On-site

$107K - $183K/yr

... natural resources, land-use planning, and geodesign. The team you will work with is collaborative ... and data science, 3D visualization and analytics, data management, and developer APIs

Esri

Product Engineer II - Data Management

Redlands, CA · On-site

... 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 ...

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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 10, 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.

Data Scientist II

Corvel

Irvine, CA • On-site, Remote

$82K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

CorVel rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

83rd of 150 rated financial services

Job description

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
  • Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Develop custom data models and algorithms to apply to data sets
  • Design, build, train, and deploy machine learning models and data products for enterprise use
  • Translate business and operational needs into scalable data science solutions and modeling approaches
  • Perform feature engineering, data preparation, and exploratory analysis to support model development
  • Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)
  • Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems
  • Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate
  • Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services
  • Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms
  • Perform model validation, testing, and documentation to ensure quality and reproducibility
  • Contribute to technical design discussions and provide input on architecture and implementation strategies
  • Work within the full software development lifecycle (SDLC), including version control, testing, and release processes
  • Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders
  • Develop A/B testing framework and test model quality
  • Passion for technology and emerging AI/ML trends
  • Additional duties as assigned

KNOWLEDGE & SKILLS:
  • Strong problem-solving skills with an emphasis on product development.
  • Strong foundation in machine learning, statistical modeling, and data science techniques
  • Experience building and deploying machine learning models in production environments
  • Familiarity with modern AI approaches, including:
    • Natural language processing (NLP)
    • Large language models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Feature engineering and model evaluation techniques
  • Experience working with cloud platforms such as Azure, AWS, or similar ecosystems
  • Familiarity with data pipelines, APIs, and integration patterns
  • Proficiency in programming languages such as Python and database management including SQL
  • Strong problem-solving skills with the ability to structure complex problems into analytical solutions
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications
  • Excellent presentation and written/verbal communication skills

EDUCATION & EXPERIENCE:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
  • 2-5+ years of experience in data science, machine learning, or related roles
  • Experience developing and deploying machine learning models in production environments
  • Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar
  • Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
  • Experience working within enterprise software environments and SDLC practices preferred

PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range: $82,574 - $127,490
A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
About CorVel
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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