Enterprise Mobility

Data Scientist

Enterprise Mobility  •  Missouri (Hybrid)  •  2 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

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.)
Enterprise Mobility

About Enterprise Mobility

At Enterprise Mobility™ we are paving a new way forward by creating better experiences for how we move. We give people around the world the ability to connect in ways that suit their unique needs. It’s a bold idea that has defined our purpose-led, people-first organization for over 65 years, and it’s one that we continue to strive toward with every journey.

Through our trusted brands and our portfolio of offerings, we aim to reach the highest levels of customer service with each interaction. And we invest in — and care about — each other, our communities and every journey. It’s a point of pride and distinction, rooted in our origins. It’s how we grew from a pioneer with a fleet of seven cars to a global mobility leader with more than 90,000 team members around the world. And it’s what will continue to drive the future of the organization and mobility itself.

Over the years, we’ve learned moving forward isn’t a simple matter of going from point A to B. Today, mobility is the movement of people and goods. It goes beyond the vehicles we drive to encompass an integrated way of travel that meets every individual’s unique needs and preferences.

That is why it’s our vision to be the world’s best and most trusted mobility company. As mobility continues to evolve, we'll continue to innovate to work toward a reimagined mobility future that is more accessible, efficient and sustainable for all.

Industry
Travel & Hospitality
Company Size
10,000+ employees
Headquarters
St. Louis, Missouri
Year Founded
Unknown
Social Media