Company:
Enterprise Holdings
Location: Saint Louis County
Closing Date: 22/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview:
About the Role
The 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 level
Company Overview
is a leading provider of mobility solutions, owning and operating the , and brands through its integrated global network of . 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-REMOTE
Responsibilities:
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 life
Additional 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 assigned
Competency Based:
Forward-Thinking
Results-Oriented
Working With a Team
Problem Solving
Communication
Equal Opportunity Employer/Disability/Veterans
Qualifications:
Minimum 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 Python
Preferred 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.)
About the Role
The 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 level
Company Overview
is a leading provider of mobility solutions, owning and operating the , and brands through its integrated global network of . 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-REMOTE
Responsibilities:
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 life
Additional 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 assigned
Competency Based:
Forward-Thinking
Results-Oriented
Working With a Team
Problem Solving
Communication
Equal Opportunity Employer/Disability/Veterans
Qualifications:
Minimum 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 Python
Preferred 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.)
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