**Overview** 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.** 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.) Enterprise Mobility/Enterprise Rent-A-Car/Alamo Rent A Car and National Car Rental seeks and values people of all backgrounds because every employee, customer and business partner is important. Enterprise Mobility is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, gender identity or protected veteran status and will not be discriminated against on the basis of disability. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use this alternative email address (JobsPrivacy@ehi.com) to contact us about your interest in employment.