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Remote Cigna Data Scientist 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 ...

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+ ...

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Remote Cigna Data Scientist information

What does a remote Cigna data scientist do?

A Remote Cigna Data Scientist analyzes large sets of healthcare and insurance-related data to identify trends, build predictive models, and help the company make data-driven decisions. Working remotely, they collaborate with other teams to improve patient outcomes, reduce costs, and enhance customer experiences. Their role often involves using statistical tools, machine learning techniques, and data visualization to turn complex data into actionable insights for the business.

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

To thrive as a Remote Cigna Data Scientist, you need a strong background in statistics, data analysis, and programming, typically with a degree in computer science, mathematics, or a related field. Proficiency in tools such as Python, R, SQL, and experience with data visualization platforms and machine learning frameworks is essential. Strong problem-solving, communication, and collaboration skills set candidates apart, especially when working remotely across teams. These competencies are vital for effectively analyzing complex healthcare data, delivering actionable insights, and supporting data-driven decisions in a virtual environment.

What are the typical collaboration methods for remote data scientists at Cigna?

As a remote Data Scientist at Cigna, you will frequently collaborate with cross-functional teams including data engineers, product managers, and business analysts using virtual platforms such as Microsoft Teams and Slack. Regular stand-up meetings, project syncs, and code reviews are standard practices to ensure alignment and transparency. Effective communication and proactive documentation are crucial, as you may work across different time zones. Additionally, you can expect to participate in collaborative problem-solving sessions and share analytical insights through interactive dashboards or presentations.

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

AspectRemote Cigna Data ScientistRemote Cigna Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related; proficiency in data visualization tools
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData reporting, trend analysis, data cleaning
Employer & Industry UsageHealthcare insurance, health servicesHealthcare insurance, health services

Remote Cigna Data Scientists focus on developing predictive models and advanced analytics, requiring specialized skills in machine learning. Data Analysts handle data reporting and trend analysis, often with less emphasis on complex modeling. Both roles are integral to Cigna's healthcare insurance operations but differ in technical depth and project scope.

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

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

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

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

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

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

Remote Cigna Data Scientist jobs near you
Infographic showing various Remote Cigna Data Scientist job openings in Kansas as of July 2026, with employment types broken down into 9% Internship, 76% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution.

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