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Natural Disaster Data Scientist Jobs (NOW HIRING)

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Apply advanced analytical techniques, including machine learning, natural language processing, and ... Stay current on emerging data science techniques and tools relevant to OIE. * Provide ...

Proficient in Natural language processing (NLP) and Natural language generation (NLG) including ... junior data scientists, in graphical, verbal, or written formats. * Demonstrated experience ...

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

The Data Scientist will leverage their strong technical background and knowledge to interpret and ... Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to ...

Data Scientist Reston, VA Active TS/SCI with Poly Clearance required @Orchard is retained by a top ... Expand existing Natural Language Processing (NLP) to include new entities and improved ...

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Build statistical and machine learning models, conducting natural language processing (NLP), and ... with knowledge of computer science concepts, data architecture, and statistical methods.

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... in natural language processing (NLP) • Understanding of database management systems • ...

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... Understanding of machine learning and AI concepts, including large language models, natural ...

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... in natural language processing (NLP) • Understanding of database management systems • ...

... Scientist with expertise in deep learning, particularly as applied to a combination of text and ... data, including natural language processing, text classification, sentiment analysis, or other ...

Data Scientist

Mclean, VA

$107K - $195K/yr

Build statistical and machine learning models, conducting natural language processing (NLP), and ... with knowledge of computer science concepts, data architecture, and statistical methods.

... through natural language. The role blends applied data science, large language model (LLM ... evaluation, and platform engineering to make high-value insights accessible and trustworthy at ...

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... The role will focus on developing and evaluating AI‑based solutions using natural language ...

WI · On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... The role will focus on developing and evaluating AI‑based solutions using natural language ...

... through natural language. The role blends applied data science, large language model (LLM ... evaluation, and platform engineering to make high-value insights accessible and trustworthy at ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

... natural gas usage, in order to resolve dangerous customer side leaks Position Summary Looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the ...

Showing results 21-40

Natural Disaster Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 3, 2026, the average yearly pay for natural disaster data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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.

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 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.

More about Natural Disaster Data Scientist jobs

What cities are hiring for Natural Disaster Data Scientist jobs?

Cities with the most Natural Disaster Data Scientist job openings:

What states have the most Natural Disaster Data Scientist jobs?

States with the most job openings for Natural Disaster Data Scientist jobs include:

Infographic showing various Natural Disaster Data Scientist job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 75% Full Time, 14% Part Time, and 7% Temporary. Highlights an 78% In-person, 4% Hybrid, and 18% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.

  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.

  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.


Job description

Who are we?

 

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. 

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business.  We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work.  We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history. 

Job Opportunity: 

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. 

The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

Duties & Responsibilities:

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:

  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
  • Experience with Databricks or other cloud-based data and analytics platforms preferred
  • Highly motivated, detail oriented, and team player

BHSI Offers:

  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.