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Natural Disaster Data Scientist Jobs (NOW HIRING)

Experience with designing, building, and implementing AI solutions (e.g., natural language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI). * The ideal candidate will have hands-on experience with ...

Experience with designing, building, and implementing AI solutions (e.g., natural language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

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

Experience with designing, building, and implementing AI solutions (e.g., natural language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

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 ...

Experience with designing, building, and implementing AI solutions (e.g., natural language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

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

Experience with designing, building, and implementing AI solutions (e.g., natural language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

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 • ...

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 ...

... 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 ...

... Natural Language Processing (NLP). We also bring the best ideas, tools, and approaches in ... This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ...

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Natural Disaster Data Scientist information

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$46K

$165K

$243.5K

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

As of Jul 17, 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.

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 kind of scientist studies natural disasters?

A natural disaster data scientist analyzes data related to events like earthquakes, hurricanes, and floods to understand their causes, impacts, and patterns. They often use statistical tools, geographic information systems (GIS), and modeling techniques to support disaster preparedness and response efforts.

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

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.

Will AI replace data scientists in 2050?

As a Natural Disaster Data Scientist, AI is a tool that can enhance data analysis and modeling but is unlikely to fully replace data scientists by 2050. Human expertise is essential for interpreting complex data, making strategic decisions, and understanding context, especially in specialized fields like disaster data analysis. Data scientists will continue to adapt by developing skills in AI, machine learning, and domain-specific knowledge.

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 is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Data Science Manager tend to have the highest salaries, often exceeding $150,000 annually. Specialized skills in deep learning, AI, and experience with cloud platforms can further increase earning potential.

Is 40 too late for data science?

Age is not a barrier to becoming a natural disaster data scientist, as the field values skills such as data analysis, programming, and domain knowledge. Many professionals transition into data science later in their careers, and acquiring relevant skills through online courses or certifications can facilitate entry regardless of age.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,525 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance


Job description

Overview

State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions. 

Applicants for this posting will be considered for a data scientist opening in Enterprise Technology – Data & AI (ET-D&AI). This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science professionals with experience in building AI/ML solutions to enhance customer engagement within our digital platform.

At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. In ET-D&AI you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.


Responsibilities

Data Science at State Farm

As a data scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills to our data science suites. Below are some of the tasks you can expect in the typical day of a data scientist: 

  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary 

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a data scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through Lead/mentor other data scientists, interns, and other technical work teams through interactions with technical and non-technical business partners. Our data scientists also embrace staying current with the evolving data science landscape.  


Qualifications

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $112,000 - $151,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

#LI-LP1

#LI-Hybrid

Qualifications:

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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