Data Scientist

About the role

This role centers on analyzing and modeling used vehicle residual values and auction prices across multiple markets to support Risk, Vehicle Remarketing, and Product teams. The successful candidate will build and maintain statistical models that quantify what drives residual values, deliver forecasts that inform key business decisions, and break down value gaps between brands and vehicle types. The role also involves developing and maintaining dashboards and automation scripts to support customer workflows, translating complex data into clear visualizations and presentations for management, staying current with emerging analytical tools and data sources, and responding to ad hoc analytical requests with both descriptive and inferential rigor.

Responsibilities

• Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers
• Provide used vehicle residual value forecasting to support key business processes
• Quantify and decompose used vehicle residual value gaps between brands and vehicles
• Provide data analysis visualization and prepare presentation materials to share with management and business customers
• Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices
• Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner
• Analyze and interpret model results to identify key trends and insights
• Develop and maintain dashboards and automation scripts to support changing customer process needs

Requirements

• Master’s degree in Statistics, Econometrics, Data Science, or related field
• 2+ years of experience conducting statistical analysis in a business or academic setting
• 2+ years of experience with one or more of the following tools:
  • Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.)
  • Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
• Ability to effectively communicate, both verbal and written, across different levels of the organizations
• Experience with Excel and PowerPoint

Qualifications

• 3+ years of Auto industry related work (used vehicle market experience a plus)
• Proficiency in Python for data analysis and model development
• Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining
• Excellent time management skills and ability to handle working on multiple projects at the same time
• Ability to make reasonable judgments and conclusions with limited information and resources
• Ability to utilize all major modeling techniques as applied to short and long-term volume and price forecasts
• Ability to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Aspirational and curious in technical excellence and innovation
• Lifetime learning attitude

Pay

This position is a salary grade 5 and ranges from $68,300–$114,800. This position is a salary grade 6 and ranges from $85,400–$143,200. This position is a salary grade 7 and ranges from $99,600–$166,600. This position is a salary grade 8 and ranges from $115,000–$192,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time