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Data Scientist

$90k - $140k
Full-time

Enterprise Holdings

Salary: $90,000 - 140,000 per year Requirements:

  • We require that you are currently authorized to work in the U.S. without present or future sponsorship from our company.
  • We require that you live in the United States, excluding Alaska and Hawaii.
  • We require that you can work within U.S. Central Standard Time core business hours.
  • We require a masters degree in a statistical or mathematical discipline such as engineering, social science, or statistics.
  • We require at least 2 years of experience with predictive modeling, statistical inference, and deep learning.
  • We require experience with machine learning libraries such as TensorFlow or PyTorch.
  • We require experience preparing and delivering presentations to both technical and non-technical audiences.
  • We require proficiency in R or Python.
  • We require a strong commitment to security-minded decision-making in daily work.
  • We prefer a doctorate in a statistical or mathematical field such as engineering, social science, or statistics.
  • We prefer experience designing experiments.
  • We prefer experience exploring and visualizing data.
  • We prefer experience with Linux/Unix.
  • We prefer experience with SQL.
  • We prefer experience handling and combining data from multiple sources and formats.
  • We prefer experience applying causal inference methods to observational data, such as matching or weighting.
Responsibilities:
  • We collaborate with our team to design and deliver analytical solutions that create meaningful business impact.
  • We extract, cleanse, and transform structured and unstructured data from multiple sources.
  • We perform exploratory data analysis to uncover patterns, trends, and actionable insights.
  • We build predictive models to support data-driven decisions.
  • We design and manage experiments, ensuring accurate execution and interpretation.
  • We apply causal inference techniques to observational data to identify relationships.
  • We prepare clear documentation of methods, findings, and recommendations.
  • We create and present insightful reports and presentations for technical and non-technical audiences.
  • We partner with cross-functional teams to implement and operationalize analytical solutions.
Technologies:
  • Support
  • Linux
  • Machine Learning
  • Network
  • PyTorch
  • Python
  • SQL
  • Security
  • TensorFlow
  • Unix

More:

We are Enterprise Mobility, a leading provider of mobility solutions operating the Enterprise Rent-A-Car, National Car Rental, and Alamo Rent A Car brands through our integrated global network of regional subsidiaries. Our business spans car rental, carsharing, truck rental, fleet management, retail car sales, travel management, and other transportation services, and we manage a diverse fleet of 2.4 million vehicles across more than 9,500 neighborhood and airport locations in over 90 countries and territories. We are hiring a Data Scientist to help drive innovation in revenue management, with the opportunity to build advanced deep learning models, work remotely within the United States except Alaska and Hawaii, and travel to our St. Louis campus a few times each year as needed.

last updated 33 week of 2026

Vacancy posted 1 day ago
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