Data Scientists Analysts

Role: Perform analysis and modeling of used vehicle residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team and customers Scope: U.S. & Canadian Used Vehicle Market & Values 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

Skills Required:
• 1+ years of experience conducting statistical analysis in a business or academic setting • 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND 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

Skills Preferred:
• Proficiency in Python for data analysis and model development • Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining • Have excellent time management skills and be able to handle working on multiple projects at the same time • Be able to make reasonable judgments and conclusions with limited information and resources • Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts • Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality • Be aspirational and curious in technical excellence and innovation • Have a lifetime learning attitude

Experience Required:
• 1+ years of experience conducting statistical analysis in a business or academic setting • 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)

Experience Preferred:
• 3+ years of Auto industry related work (used vehicle market experience a plus)

Education Required:
• Master’s degree in Statistics, Econometrics, Data Science, or related field

Additional Information:
Hybrid Position 15 days per quarter, slightly more than once per week (company could increase this requirement in the future and be asked for more days in the office)