Über
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.
Enterprise offers excellent package with market-competitive pay, comprehensive healthcare packages, 401k matching & profit sharing, schedule flexibility, paid time off, and organizational growth potential.
Compensation decisions will be made based on factors that include but are not limited to experience, education, location, and skill level.
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.
Responsibilities
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 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 authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
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 Linuz/Unix
Experience using SQL
Experience working with data (merging, recording, etc.) from a variety of sources/formats
Experience working with observational data to attempt casual inference (e.g. matching, weighting, etc.)
Sprachkenntnisse
- English
Hinweis für Nutzer
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