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Environmental Data Scientist Jobs in Kansas (NOW HIRING)

Overstory

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 ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

We celebrate diversity and equity and are committed to creating an inclusive environment for all ... Evaluate other emerging methods and research to ensure SKC stays current with data science best ...

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

We celebrate diversity and equity and are committed to creating an inclusive environment for all ... Evaluate other emerging methods and research to ensure SKC stays current with data science best ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... cloud environment. * Experience building data applications and pipelines. Job Expectations:

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... cloud environment. * Experience building data applications and pipelines. Job Expectations:

Actalent

Environmental Project Manager

Topeka, KS

... and analyze collected data to support project decisions. * Prepare clear, accurate, and ... Collaborate closely with internal and external teams, including project scientists, engineers, and ...

Actalent

Environmental Project Manager

Topeka, KS · On-site

... and analyze collected data to support project decisions. * Prepare clear, accurate, and ... Collaborate closely with internal and external teams, including project scientists, engineers, and ...

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All JobsEnvironmental Data Scientist JobsEnvironmental Data Scientist Jobs in Kansas

Environmental Data Scientist information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do environmental data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for environmental data scientist in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What are the most commonly searched types of Environmental Data Scientist jobs in Kansas?

The most popular types of Environmental Data Scientist jobs in Kansas are:

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

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

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

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

What cities in Kansas are hiring for Environmental Data Scientist jobs?

Cities in Kansas with the most Environmental Data Scientist job openings:

Environmental Data Scientist jobs near you
Infographic showing various Environmental Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 5 days ago

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 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, co-working 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