ZipRecruiter

Log In

2

Remote Data Scientist Contract Jobs in Kansas (NOW HIRING)

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Total Performance Consulting

$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 ...

New

Actalent

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Ability to travel extensively and work outdoors in variable weather conditions, often in remote or ...

Scopely

... remote basis At Scopely, we care deeply about what we do and want to inspire play, every day ... B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines * 2+ ...

next page

Showing results 1-20

All JobsData Scientist Contract JobsRemote Data Scientist Contract JobsRemote Data Scientist Contract Jobs in Kansas

Remote Data Scientist Contract information

What is a remote data scientist contract?

A Remote Data Scientist Contract position is a temporary role where a data scientist works for a company or client from a location outside the traditional office setting, often from home. Contract roles typically have a set duration and focus on specific projects or deliverables, such as building predictive models, analyzing large datasets, or developing data-driven insights. Remote data scientists use tools like Python, R, and cloud-based platforms to collaborate with teams and complete tasks. This role often offers flexibility and the opportunity to work with multiple organizations or on diverse projects. Individuals in these positions are usually responsible for managing their own workflow and communication with clients or employers.

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

To thrive as a Remote Data Scientist on a contract basis, you need strong analytical skills, proficiency in statistical modeling, and a background in mathematics, computer science, or a related field, typically supported by a relevant degree. Expertise in programming languages such as Python or R, experience with data visualization tools (like Tableau or Power BI), and familiarity with cloud platforms (such as AWS or GCP) are commonly required, along with certifications in data science or machine learning. Excellent communication, self-motivation, and time management skills help remote data scientists effectively collaborate with clients and teams across different locations. Mastering these skills ensures you can deliver actionable insights, meet project deadlines, and build successful client relationships in a remote, contract-based environment.

What are some common challenges faced by remote data scientists working on contract, and how can they be addressed?

Remote data scientists on contract often face challenges such as limited access to company data, asynchronous communication with team members, and managing multiple clients or projects simultaneously. To address these, it's important to establish clear communication channels, set expectations regarding data access early on, and use collaborative tools for version control and reporting. Regular check-ins with stakeholders and proactive documentation can also help ensure alignment and smooth project progress.

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

AspectRemote Data Scientist ContractRemote Data Analyst Contract
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; skills in data visualization and SQL
Work EnvironmentProject-based, often involves building models, advanced analytics, and machine learningFocuses on data cleaning, reporting, and basic analysis
Employer & Industry UsageUsed across tech, finance, healthcare, and research sectorsCommon in marketing, retail, and business intelligence sectors

Remote Data Scientist Contracts typically involve advanced analytics and machine learning, requiring specialized skills and credentials. In contrast, Remote Data Analyst Contracts focus on data reporting and visualization. Both roles are remote, but they serve different analytical needs within organizations.

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

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

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

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

What cities in Kansas are hiring for Remote Data Scientist Contract jobs?

Cities in Kansas with the most Remote Data Scientist Contract job openings:

Remote Data Scientist Contract jobs near you
Infographic showing various Remote Data Scientist Contract job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 4 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