Algorithms, Analysis Skills, Automotive Sales, Business Strategy, Car Rentals, Cross-Functional, Data Analysis, Data Modeling, Data Science, Data Visualization, Deep Learning, Demand Forecasting/Planning, Documentation, Experiment Design, Fleet Management, Home Automation, Linux Operating System, Mathematics, Network Integration, Predictive Modeling, Presentation/Verbal Skills, Process Improvement, Python Programming/Scripting Language, R Programming Language, Relocation Services, Rentals, Retail, Revenue Growth, Revenue Management, SQL (Structured Query Language), Social Sciences, Statistical Modeling, Statistics, Structured Data, Technical Presentation, Trend Analysis, Unix Operating Systems, Unstructured Data, Weighting
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 is located at our Corporate Headquarters in Clayton, MO. This position is eligible for a hybrid work schedule.
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 St. Louis, Missouri, or immediate surrounding area
- 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.)
E
Enterprise Holdings
ABOUT COMPANY:
A family-owned, world-class portfolio of brands. A global network that spans across more than 90 countries. Some 100,000 dedicated team members sharing common values. And more than 1.9 million vehicles taking our customers wherever they need to go. Any way you measure it, we've become a leader in the transportation service industry. How did we get here? By taking care of our customers, our communities and our employees – and staying true to our mission.
Working Here
Our people are the reason for our success. By living out our values each day and providing exceptional customer service, we’ve built a strong culture – one in which we bring honesty and integrity to all we do. We work hard, but never forget to have a little fun in the process. For more than 60 years, our values have been at the root of our success as a team and as individuals.
Our Values:
• Our brands are the most valuable things we own.
• Personal honesty and integrity are the foundation of our success.
• Customer service is our way of life.
• Our company is a fun and friendly place where teamwork rules.
• We work hard... and we reward hard work.
• Great things happen when we listen... to our customers and to each other.
• We strengthen our communities, one neighborhood at a time.
• Our doors are open.
10,000 employees or more
Travel, Transportation and Tourism
Military Leave, Prescription Drug Coverage, Professional Development, 401K, Employee Referral Program, Flexible Spending Accounts, Employee Events, Retirement / Pension Plans, Life Insurance, Merchandise Discounts
https://go.enterpriseholdings.com