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Natural Disaster Data Scientist Jobs in Kansas (NOW HIRING)

Data Scientist

Overland Park, KS · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

Overland Park, KS

$2.5K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 AI capabilities. The ideal candidate combines technical depth, business acumen ... Build natural language processing and computer vision solutions for document intelligence ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Wichita, KS · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Personnel Assistant III

Fort Riley, KS · On-site

$34K - $45K/yr

The job requires compiling collected information into useful data for the SRP Site Manager and ... In the event of inclement weather or a natural disaster, the Installation Commander may require the ...

IT Manager

Sabetha, KS · On-site

$86K - $105K/yr

Provide strategic oversight of data center environmental and monitoring systems to ensure ... ofa disruption, cyberattack, natural disaster, or other business continuity * Safeguard ...

IT Manager

Sabetha, KS · On-site

$86K - $105K/yr

... data in the event of a disruption, cyberattack, natural disaster, or other business continuity ... A 4-year Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a ...

IT Manager

Sabetha, KS · On-site

$86K - $105K/yr

... data in the event of a disruption, cyberattack, natural disaster, or other business continuity ... A 4-year Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a ...

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Proficiency in conducting botanical surveys, natural community mapping, wildlife habitat ...

Senior Wetland Scientist

Overland Park, KS · On-site

$89K - $121K/yr

... natural sciences to join our team as a full-time, mid-to-senior level lead wetland scientist in the ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

Senior Wetland Scientist

Kansas City, KS · On-site

$86K - $118K/yr

... natural sciences to join our team as a full-time, mid-to-senior level lead wetland scientist in the ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

Senior Wetland Scientist

Wichita, KS · On-site

$81K - $111K/yr

... natural sciences to join our team as a full-time, mid-to-senior level lead wetland scientist in the ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

Senior Wetland Scientist

Overland Park, KS · On-site

$86K - $117K/yr

... natural sciences to join our team as a full-time, mid-to-senior level lead wetland scientist in the ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

$650/wk

  • Medical

Position Summary Assist the Fort Natural Resources Specialist in accomplishing goals set forth in ... Learning and putting data into various citizen science projects such as but not exhaustive: Journey ...

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Natural Disaster Data Scientist information

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.

What are popular job titles related to Natural Disaster Data Scientist jobs in Kansas?

For Natural Disaster Data Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Natural Disaster Data Scientist jobs in Kansas look for?

The top searched job categories for Natural Disaster Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Natural Disaster Data Scientist jobs?

Cities in Kansas with the most Natural Disaster Data Scientist job openings:

Infographic showing various Natural Disaster Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

181st of 245 rated software companies


Job description

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data platform team, this role designs and evaluates AI and agent-based methods to extract clinical meaning from free-text sources (for example, deriving patient clinical statuses from notes and mapping free-text diagnoses to standardized code sets such as ICD-10), rigorously measures the quality of those outputs, and builds agentic tooling that lets users query data and generate dashboards 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 scale.
Key Responsibilities:
  • Design and build methods to standardize unstructured healthcare data, including extracting clinical statuses and other structured attributes from free-text clinical notes and mapping free-text diagnoses to standardized terminologies such as ICD-10.
  • Develop, prompt, and orchestrate LLM- and agent-based pipelines to perform extraction, normalization, and enrichment tasks against diverse and messy source documents.
  • Define and implement rigorous evaluation frameworks to measure agent and model performance on these tasks, including gold-standard datasets, accuracy and error-mode analysis, and ongoing monitoring of output quality.
  • Build and maintain an agentic harness that enables users to query data and generate dashboards through natural language (an internal analog to agentic analysis tools such as Claude Cowork for our data).
  • Partner with data platform, engineering, and Life Sciences stakeholders to translate business use cases into technical requirements and analysis-ready data products.
  • Continuously monitor and improve the accuracy, quality, and efficiency of data extraction, standardization, and downstream analytics.
  • Contribute to responsible AI practices, including appropriate handling and de-identification of sensitive healthcare data.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:
  • Healthcare industry experience, especially with Healthcare data in post-acute care.
  • Experience applying large language models and/or agentic frameworks to real-world data extraction or transformation tasks.
  • Experience with clinical terminologies and coding systems (e.g., ICD-10, SNOMED CT, LOINC) and with natural language processing on clinical or biomedical text.
  • Familiarity with Life Sciences or Real-World Data / Real-World Evidence (RWD/RWE) use cases.
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis).
  • Proficiency in Python and SQL, and experience working within a modern data platform or cloud environment.
  • Experience building data applications and pipelines.

Job Expectations:
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1
#LI-Onsite
WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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