Data Scientist Job at JM Family Enterprises
Overview:
Southeast Toyota Finance is a subsidiary of JM Family Enterprises, Inc., a privately held company with $18 billion in revenue and more than 5,000 associates, which is headquartered in Deerfield Beach, Florida. Job Description:
The Candidate must have excellent statistical and critical thinking skills and can clearly articulate complex models and concepts to technical and non-technical stakeholders, while also collaborating on insights with other modelers and business partners. The Candidate must have hands-on experience developing SAS SQL queries and conducting data analysis, computer programming skills, knowledge of machine learning/statistical software packages (e.g. Python, R, SAS, etc), and hands-on experience applying machine learning/statistical/forecasting techniques. It is also important the Candidate can develop production-ready code that is efficient, maintainable, and deployable. The Candidate must also be passionate about data with a high level of curiosity, collaborative, able to operate in ambiguity, very detail-oriented, have the creativity to try new approaches, able to handle multiple tasks, have strong time management skills, willing to learn and improve, and remain focused on department goals and objectives. Job Requirements:
About Southeast Toyota Finance
Southeast Toyota Finance (part of World Omni Financial Corp.) is a captive financial services company driven to delivering an exceptional dealership and customer experience for Toyota customers in the Southeast. The company offers a broad range of products and services to the 177 Toyota dealers in Alabama, Florida, Georgia, North Carolina, and South Carolina. Southeast Toyota Finance is the leading provider of finance and lease options for new Toyota vehicles within its footprint, consistently ranking at the top in market share and dealer satisfaction. The company is committed to strong dealer relationships and customer service, providing finance, retail and lease programs, college graduate and military rebate programs that drive customer and dealer loyalty. The company’s portfolio of dealer loans includes inventory financing, real estate, and construction loans.
Southeast Toyota Finance is a subsidiary of JM Family Enterprises, Inc., a privately held company with $18 billion in revenue and more than 5,000 associates, which is headquartered in Deerfield Beach, Florida.
This Associate will work in the Analytics Department of Southeast Toyota Finance, a division of JM Family Enterprises, and will be responsible for developing analytical solutions using statistics, machine learning, and advanced data science techniques to help make improved business decisions. The candidate will be tasked with gathering and integrating large volumes of data to develop complex predictive models to drive actionable results and insights especially in the areas of risk management and portfolio analytics.
The Candidate must have excellent statistical and critical thinking skills and can clearly articulate complex models and concepts to technical and non-technical stakeholders, while also collaborating on insights with other modelers and business partners. The Candidate must have hands-on experience developing SAS SQL queries and conducting data analysis, computer programming skills, knowledge of machine learning/statistical software packages (e.g. Python, R, SAS, etc), and hands-on experience applying machine learning/statistical/forecasting techniques. It is also important the Candidate can develop production-ready code that is efficient, maintainable, and deployable. The Candidate must also be passionate about data with a high level of curiosity, collaborative, able to operate in ambiguity, very detail-oriented, have the creativity to try new approaches, able to handle multiple tasks, have strong time management skills, willing to learn and improve, and remain focused on department goals and objectives.
- Minimum of Master’s degree in Statistics, Mathematics, Econometrics, and/or Quantitative Analysis required
- Minimum of 2 years of computer programming, data science, and statistics experience
- Minimum of 2 years using Python to develop models to solve real-world business problems
- Minimum of 2 years using SAS
- Experience with cloud computing services (Azure is preferred)
- Experience in the consumer lending industry is preferred
- Experience using Microsoft Power BI is preferred
- Experience using Microsoft Office products preferred
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