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Remote Product Data Scientist Jobs in Kansas (NOW HIRING)

Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Partner closely with data scientists, analysts, and product teams to understand data requirements ...

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Partner closely with data scientists, analysts, and product teams to understand data requirements ...

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

$108K - $143K/yr

You'll partner closely with Engineering, Design, Creative Studio, Data Science, and Revenue to translate a bold vision into products advertisers love. StackAdapt is a remote first company. This role ...

... remote basis At Scopely, we care deeply about what we do and want to inspire play, every day ... data analytics, product analytics, business analytics, financial analysis, data science, or a ...

$108K - $143K/yr

... Remote First company, we are open to candidates located anywhere in the US and Canada for this ... Data Science, and Revenue teams. * Keen design sense; you're able to look at a feature and ...

$108K - $143K/yr

StackAdapt is a Remote First company, we are open to candidates located anywhere in the US and ... Data Science, and Revenue teams. * Keen design sense; you're able to look at a feature and ...

Collaborate across the organization with Data Scientists, Product Managers, and other engineering ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Collaboration is key, you will work alongside brilliant minds across product, data science, and ... Employee Resource Groups EEO/VEVRAA #LI-REMOTE #LI-SZ1

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...

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Showing results 1-20

Remote Product Data Scientist information

What is the difference between Remote Product Data Scientist vs Remote Data Analyst?

AspectRemote Product Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Statistics, Mathematics, or related field; proficiency in data visualization
Work EnvironmentCollaborates with product teams, engineers, and stakeholders on product developmentSupports business decisions by analyzing data, often across departments
Employer & Industry UsageTech companies, e-commerce, SaaS firms focusing on product optimizationRetail, finance, marketing agencies analyzing business performance

Remote Product Data Scientists focus on developing models and insights to improve products, working closely with product teams. Remote Data Analysts primarily interpret data to support business decisions across various departments. While both roles require strong analytical skills, the Product Data Scientist emphasizes machine learning and product impact, whereas the Data Analyst concentrates on reporting and data visualization.

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

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

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Infographic showing various Remote Product 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.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 8 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