Data Scientist

OverviewAbout the RoleThe Data Scientist builds analytical products to improve business processes. Building these products involves using algorithms for automation, creating predictive models, designing experiments, attempting causal inference with observational data, and using mathematical optimization to find the most profitable business policies. The Data Scientist works with technical and non-technical members of the company to help oversee the creation and adoption of analytical products.This position is located at our Corporate Headquarters in Clayton, MO but is remote eligible for the right candidate. Enterprise offers an 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 levelCompany OverviewEnterprise Mobility (https://www.enterprisemobility.com/index.html) is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car (https://www.enterprise.com/en/home.html) , National Car Rental (https://www.nationalcar.com/en/home.html) and Alamo Rent A Car (https://www.alamo.com/en/home.html) brands through its integrated global network of independent regional subsidiaries (https://www.enterprisemobility.com/about/what-drives-us.html) . 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 2.1 million vehicles and accounted for nearly $35 billion in revenue through a network of more than 10,000 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.#LI-REMOTEResponsibilities- Work with the team to design and deliver analytical solutions- Extract, clean, and manipulate both structured and unstructured data- Perform exploratory data analysis- Develop predictive models- Design and oversee the execution of experiments- Use observational data for causal inference- Deliver documentation including descriptions of efforts, results, and recommendations- Make presentations to team members and other business units- Partner with the other teams to bring solutions to lifeAdditional Responsibilities- Seek to improve job performance through self-assessment, skill development, training and goal setting- Maintain a regular and reliable level of attendance and punctuality- Perform miscellaneous job-related duties as assignedCompetency Based:- Forward-Thinking- Results-Oriented- Working With a Team- Problem Solving- CommunicationEqual Opportunity Employer/Disability/VeteransQualificationsMinimum Qualifications:- Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position- Must have a Master's Degree in statistical/mathematical field (e.g. engineering, social science, statistics, or similar)- Must have two or more (2+) years of experience with predictive models (including deep learning/neural networks), statistical inference, and/or other forms of quantitative analysis- Must have experience preparing and giving presentations to technical and non-technical audiences- Must have proficiency in R or PythonPreferred Qualifications:- 2+ years of experience using deep learning/neural networks- Experience using Linux/Unix- Experience working with observational data to attempt causal 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.