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Climate Data Scientist Jobs in Kansas (NOW HIRING)

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... climate crisis

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers ... Experience with deep learning models for weather or climate data * Experience in remote-first or ...

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Meteorologist

Goodland, KS Β· On-site +1

$40K/yr

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

Meteorologist

Dodge City, KS Β· On-site +1

$40K/yr

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

Ability to explain plate tectonics, climate zones, demographic transitions, and urbanization ... Guides students through reading topographic and thematic maps, analyzing population data and ...

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Climate Data Scientist information

See Kansas salary details

$41K

$147.2K

$217.2K

How much do climate data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for climate data scientist in Kansas is $147,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a climate data scientist?

A Climate Data Scientist analyzes large datasets related to climate and environmental changes to identify patterns, make predictions, and support decision-making. They use statistical models, machine learning, and data visualization techniques to assess climate trends, extreme weather events, and environmental risks. Their work often supports policymakers, researchers, and organizations in mitigating climate change impacts and developing sustainable solutions.

What does a climate data scientist do?

Climate Data Scientists typically work on projects such as analyzing large climate datasets, developing predictive models for weather or environmental trends, and visualizing data to support scientific or policy reports. Day-to-day tasks may include cleaning and processing data, running simulations, and collaborating with other scientists or policy experts. There’s also a strong focus on communicating findings to both technical and non-technical audiences, often as part of a multidisciplinary team. This variety ensures that each day brings new challenges and opportunities to contribute to impactful environmental solutions.

What are the key skills and qualifications needed to thrive as a climate data scientist?

To thrive as a Climate Data Scientist, you need a strong background in statistics, environmental science, and programming, often supported by an advanced degree in a related field. Expertise with data analysis tools like Python, R, machine learning libraries, and experience with geospatial systems such as GIS is highly valued. Strong problem-solving, communication, and collaboration skills help you interpret complex climate data and convey insights to diverse stakeholders. These abilities are crucial for effectively turning vast climate datasets into actionable information that drives environmental research and policy decisions.

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

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

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

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

Infographic showing various Climate Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,171 per year, or $70.8 per hour.

Staff Data Scientist - Wildfire

On-site, Remote

Full-time

Posted 25 days ago


Key responsibilities

  • Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies

  • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis

  • Prototype and refine machine learning modeling approaches, then collaborate with ML engineers to implement them into production systems


Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefitsΒ 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgetsΒ 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis