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Remote Cigna Data Scientist Jobs (NOW HIRING)

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required. An employee ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you will do: * Work closely with a tight-knit team of data scientists, software developers, network ...

Dlapiper

Data Scientist

Miami, FL · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

$100K - $140K/yr

Remote Categories: Analytics/Data Science Mutual of Omaha is seeking a Data Scientist to help transform healthcare claims data into actionable business insights. This role is responsible for ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Dlapiper

Data Scientist

Austin, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

CoventBridge Group

Data Scientist

$100K - $120K/yr

Overview Data Scientist - REMOTE The Data Scientist develops advanced analytical models, algorithms, and data pipelines to support proactive fraud, waste, and abuse detection across Medicare and ...

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All Jobsremote JobsRemote Cigna Data Scientist Jobs

Remote Cigna Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do remote cigna data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote cigna data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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.

More about Remote Cigna Data Scientist jobs

What cities are hiring for Remote Cigna Data Scientist jobs?

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What are the most commonly searched types of Cigna Data Scientist jobs?

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States with the most job openings for Remote Cigna Data Scientist jobs include:

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

Remote Cigna Data Scientist jobs near you
Infographic showing various Remote Cigna Data Scientist job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Enterprise Holdings

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 26 days ago

Enterprise Holdings rating

7.1

Company rating: 7.1 out of 10

Based on 268 frontline employees who took The Breakroom Quiz

117th of 177 rated vehicle equipment hire

Job description

Overview
ABOUT THE COMPANY
Enterprise Mobility is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car, National Car Rental and Alamo Rent A Car brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rental, carsharing, truck rental, fleet management, retail car sales, as well as travel management and other transportation services, to make travel easier and more convenient for customers.
Privately held by the Taylor family of St. Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.4 million vehicles and accounted for nearly $39 billion in revenue through a network of more than 9,500 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.
As we continue to build a team that drives us forward, we are excited to announce the opening for a Data Scientist.
ABOUT THE ROLE
The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical products-creating algorithms for automation, building predictive models, designing experiments, and applying causal inference techniques to observational data. You'll also harness mathematical optimization to identify the most profitable business strategies. Success in this position requires strong collaboration with both technical and non-technical teams to ensure the creation, delivery, and adoption of impactful analytical solutions
This position offers the opportunity to work fully remote within the United States (except for Alaska and/or Hawaii). Team members who choose virtual / remote work should have an adequate space to serve as their home office, and must be able to work a schedule within U.S. Central Standard Time core business hours This position will require employees to come on site to one of our St. Louis campus locations a few times per year for meetings/events or as needed. #LI-REMOTE
We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.
Responsibilities
As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will enable branch-level decision-making, helping maximize revenue by leveraging historical trends and predictive analytics. In this role, you will collaborate closely with cross-functional teams to develop and implement analytical solutions that drive measurable business impact.
  • Collaborate with the team to design and deliver analytical solutions that drive business impact
  • Extract, clean, and manipulate structured and unstructured data from multiple sources
  • Perform exploratory data analysis to identify patterns, trends, and insights
  • Develop predictive models to support data-driven decision-making
  • Design and oversee experiments, ensuring accurate execution and interpretation of results
  • Apply causal inference techniques using observational data to uncover relationships
  • Prepare and deliver clear documentation of methodologies, findings, and recommendations
  • Create and present insightful reports and presentations for technical and non-technical audiences
  • Partner with cross-functional teams to implement and operationalize analytical solutions

Equal Opportunity Employer/Disability/Veterans
Qualifications
Required:
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must reside in the United States (does not include Alaska or Hawaii)
  • Must be able to work a schedule within U.S. Central Standard Time core business hours.
  • Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Must have two (2+) years of experience with predictive models, statistical inference and deep learning
  • Must have experience using libraries like tensorflow or pytorch
  • Must have experience preparing and giving presentations to technical and non-technical audiences
  • Must have proficiency in R or Python
  • Must be committed to incorporating security into all decisions and daily job responsibilities

Preferred:
  • Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Experience designing experiments
  • Experience exploring and visualizing data
  • Experience using Linux/Unix
  • Experience using SQL
  • Experience working with data (merging, recording, etc.) from a variety of sources/formats
  • Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)

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