Data Scientist
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Job Location:
St. Louis, MO - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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 this role youll develop cutting-edge analytical productscreating algorithms for automation building predictive models designing experiments and applying causal inference techniques to observational data. Youll 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 andoperatingthe Enterprise Rent-A-Car National Car Rental and Alamo RentACar brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rentalcarsharing 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 fornearly$39 billionin revenue through a network of more than 9500fully-staffedneighborhood 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 Masters 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.)
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
What’s a career at Enterprise Mobility all about? It’s a simple idea that leads to amazing careers for those who choose Enterprise Mobility. Search jobs here.
