Lead Data Scientist

Job description


About the Role

The Lead Data Scientist independently designs and builds analytical products to improve business processes. These products include using algorithms for automation, building predictive models, designing experiments, attempting causal inference with observational data, and using mathematical optimization to find the most profitable business policies. The Lead Data Scientist works with technical and non-technical members of the company to help oversee/lead the creation and adoption of analytical products. The Lead Data Scientist also mentors other team members.

This position is part of our larger Data & Analytics Division, located at our headquarters in St. Louis, MO. This team support our executive teams, multiple business lines, and our field teams througout the world. This role is a new addition to a team that is in the middle of a personnel increase of nearly 40%. Candidates in the greater St. Louis Area will have the opportunity to work on a highly flexible hybrid schedule with predominantly work-from-home options. Consideration will be given to remote work for candidates outdside of the St. Louis Area as well.

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 level

Company Overview

Enterprise Holdings Inc. 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 Holdings 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 Holdings together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.1 million vehicles and accounted for nearly $30 billion in revenue in fiscal year 2022 through a network of more than 10,000 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.

  • Independently lead the design and delivery of end-to-end advanced analytical solutions that address the business needs
  • Independently extract, clean and manipulate both structured and unstructured datasets
  • Perform exploratory data analysis, generate hypotheses and extract actionable insights
  • Develop statistical and/or mathematical models that are put in production; assess current models in production and identify opportunities for enhancement and automation
  • Independently design and oversee the execution of experiments
  • Independently deliver detailed documentation including descriptions of efforts, results, insights and recommendations
  • Create and deliver presentations to team members and other business units
  • Partner with the other teams to bring solutions to life
  • Provide guidance to other Data Scientists on the team; Assist the Manager with training and development
  • Evaluate new data technologies to determine the effectiveness of the solution and its feasibility
  • Seek to develop strategies to link the team's analytical activities with business goals and objectives
Equal Opportunity Employer/Disability/Veterans


  • Master's Degree in a statistical/mathematical field (e.g. engineering, social science, statistics)
  • 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
  • Must have six or more years of experience in the following:
    • Experience with predictive models, statistical inference, and other forms of quantitative analysis
    • End-to-end experience building data science products that drive value
    • Experience preparing and giving presentations to technical and non-technical audiences
  • Must be proficient in R/Python
  • Must have experience using Linux/Unix
  • Ph.D. in a statistical/mathematical field (e.g. engineering, social science, statistics)
  • Experience using Scala/PySpark and SQL
Competency Based
  • Forward-Thinking
  • Results-Oriented
  • Working With a Team
  • Detail-Oriented
  • Problem Solving
  • Communication

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