ZipRecruiter

Log In

2

Remote Data Scientist Jobs in Missouri (NOW HIRING)

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

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 ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Catawiki

Finding data science opportunities by exploring our extensive mobile and web data, and applying ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

... remote sensing analytics across varied sensors, collection geometries, and data streams. * Support ... Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied ...

New

GeoYeti

Senior SAR Imagery Scientist

Saint Louis, MO · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do: * Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join ...

next page

Showing results 1-20

All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Missouri

Remote Data Scientist information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do remote data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data scientist in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

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

The most popular types of Data Scientist jobs in Missouri are:

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

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

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

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

What cities in Missouri are hiring for Remote Data Scientist jobs?

Cities in Missouri with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Data Scientist

Enterprise Holdings

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 5 days ago

Enterprise Holdings rating

7.2

Company rating: 7.2 out of 10

Based on 267 frontline employees who took The Breakroom Quiz

111th of 173 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
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.)

What Enterprise Holdings employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply