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Natural Disaster Data Scientist Jobs in Springfield, MO

Guida's Dairy

Principal Scientist

Springfield, MO

Utilize sensory science tools, available in the Innovation Center, to give data points to the ... Working and advanced knowledge of natural, processed cheeses and dairy sauces' manufacturing

Brightli

Principal AI Engineer

Springfield, MO

This hands-on role develops natural language-to-SQL solutions, semantic data models, and prototype ... Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

You will create natural language-to-SQL solutions, design semantic data models, build prototypes ... Science, Information Systems, or related field. • 7+ years of experience in data, analytics ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

This hands-on role develops natural language-to-SQL solutions, semantic data models, and prototype ... Science, Information Systems, or related field • 7+ years of experience in data, analytics ...

OMB Bank

Senior Network Engineer

Springfield, MO · On-site

$88K - $121K/yr

... proper data retention, access controls, and policy compliance. · Implement and test disaster ... Computer Science, Network Engineering or related field required · Equivalent combination of ...

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All JobsNatural Disaster Data Scientist JobsNatural Disaster Data Scientist Jobs in Springfield, MO

Natural Disaster Data Scientist information

See Springfield, MO salary details

$41.8K

$150.1K

$221.5K

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 Springfield, MO is $150,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $154,600.00 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 Springfield, MO? For Natural Disaster Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Natural Disaster Data Scientist jobs in Springfield, MO look for? The top searched job categories for Natural Disaster Data Scientist jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Natural Disaster Data Scientist jobs? Cities near Springfield, MO 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 Springfield, MO as of August 2026, with employment types broken down into 76% Full Time, 16% Part Time, 2% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $150,105 per year, or $72.2 per hour.

SME Instructor Humanitarian Aid and Disaster Relief (HADR) 106-005

IC-CAP LLC

Springfield, MO • On-site

Full-time

Re-posted 14 days ago

Job description

We are primarily sourcing level 2 Candidates but will consider level 1 Candidates.
SME Instructor Humanitarian Aid and Disaster Relief (HADR): delivers in-resident and distributed learning instructional programs in accordance with course requirements at the NGA College. Uses instructional methods such as guided discussions, lectures, demonstrations, small group exercises, seminars, workshops, and laboratories. Uses instructional technology, including but not limited to Blackboard. Conducts assessment strategy in accordance with the course design, including instructor observation, testing, and grading. Provides formal and informal student feedback. Provides subject matter expertise (SME) throughout the curriculum creation process, including content review and feedback to development staff. Relevant instructional experience includes but is not limited to, experience developing and delivering technical training and educational courses in academic, commercial, government, or industrial organizations.
Work Role:
  • Desired degree(s) in one of the following: Geography, Geodetic Science, Geospatial Intelligence, Spatial Statistics, or a related discipline
  • Possess documented experience within the last 36 months as Geospatial Analyst that has created, analyzed, and interpreted spatial data. The Candidate will apply their knowledge of geographic information science and technology, statistics, spatial thinking, remote sensing, intelligence issues and social and physical science to characterize events, discover relationships and trends, and produce geospatial products
  • Possess a working knowledge of the application of GIS and analysis of geospatial data to solve intelligence problems that may face the DoD or the Intelligence Community
  • Demonstrated fundamental knowledge of the principles and applications of imagery interpretation, digital image processing systems, collections, and sensor phenomenology
  • Demonstrated strong working knowledge of ESRI GIS software and extensions and NGA, DoD, Federal, and Commercial data sources, standards, and models
  • Demonstrated experience maintaining a database
  • Demonstrated experience creating, editing, reviewing, and responding to Requests for Information
  • For deployment teaching deployer training instructors, requires documented experience supporting a GEOINT mission within the past 24 months. May require additional documented experience directly supporting the NGA mission at a site external to customer base (e.g., OCO-related deployment, Disaster/Humanitarian Relief support, etc.) within the past 24 months of RFP release date

Job Criteria:
  • Understanding of various policies associated with collaborating with other agencies
  • Understanding of the HADR TCPED process
  • Experience with an assortment of data and imagery sources used
  • Experience with ArcGIS and RemoteView

Level 1 Experience:
  • Bachelors degree in area of expertise plus three years of experience, or six years of relevant experience. The expertise must align with work role
  • Desired Minimum Instructional Experience: Three (3) years of relevant instructor experience

Level 2 Experience:
  • Masters degree in area of expertise plus 3 years of relevant experience; or bachelors degree in area of expertise plus 5 years of relevant experience; or 20 years of relevant experience
  • Desired Minimum Instructional Experience: Four (4) years of relevant instructor experience

Security Clearance:
  • Active TS/SCI and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status

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