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Climate Data Scientist Jobs in Kansas (NOW HIRING)

Overstory

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 ...

Varsity Tutors

Earth Science Tutor

Wichita, KS · Remote

$18 - $40/hr

... 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.

Varsity Tutors

Earth Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

... 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.

US Department of Commerce

Meteorologist

Dodge City, KS · 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 ...

US Department of Commerce

Meteorologist

Wichita, KS · On-site

$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 ...

US Department of Commerce

Meteorologist

Topeka, KS

$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 ...

US Department of Commerce

Meteorologist

Goodland, KS · 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 ...

Overstory

... climate crisis Nice To Have * 5+ years of product design experience * Experience working on a B2B SaaS product * Experience working closely with machine learning engineers and/or data scientists

Varsity Tutors

High School Geography Tutor

Wichita, KS · Remote

$18 - $40/hr

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 Aug 7, 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:
Climate Data Scientist jobs near you
Infographic showing various Climate 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,171 per year, or $70.8 per hour.

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Full-time

Re-posted 2 days ago

Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

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 benefits 
  • 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, coworking and ongoing education budgets 
  • 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

Apply