Enterprise Mobility · 23 hours ago
Data Scientist
St. Louis - Brentwood, Richmond Heights, Clayton, Maplewood & central areas
Full-time
Hybrid
Entry, Mid Level
2+ years expEnterprise Mobility is a leading provider of mobility solutions, and they are seeking a Data Scientist to transform data into actionable insights. The role involves developing analytical products, creating algorithms for automation, and collaborating with teams to implement impactful solutions.
RentalTourismTravel
No H1B
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
Qualification
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.)
Benefits
Comprehensive healthcare packages
401k matching & profit sharing
Schedule flexibility
Paid time off
Company
Enterprise Mobility
At Enterprise Mobility™ we are paving a new way forward by creating better experiences for how we move.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Chrissy Taylor
President & Chief Executive Officer
Mike Andrew
Chief Legal & Legislative Officer
Recent News
Research and Markets
2025-09-26
2025-08-19
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