Data Scientists Modeling

Perform analysis and modeling of residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and customers Scope: Used Vehicle Residual Values and Used Vehicle Market Responsibilities: " Develop and maintain models to quantify the relationship between auction prices and key residual values drivers " Develop and maintain models to optimize the distribution of remarketing vehicles " 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 " Provide data analysis visualization and prepare presentation materials to share with management and business customers " Analyzes and evaluates remarketing programs development, progress and performance " Analyze and interpret model results to identify key trends and insights

Skills Required:

" 2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) " Cloud computing platforms like GCP " Ability to effectively communicate, both verbal and written, across different levels of the organizations " Excel and PowerPoint

Skills Preferred:

" Proficiency in Python for data analysis and model development " Proficiency with SAS " Strong data visualization skills using Qlik Sense " Experience with data engineering and pipeline development " 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

Experience Required:

2+ years of experience using advanced modeling (including machine / deep learning, statistical, econometric, optimization, etc.) and simulation techniques in a business or academic environment

Experience Preferred:

" 3+ years of auto industry related work (auto marketing and sales experience a plus)

Education Required:

Master s degree in Statistics, Econometrics, Data Science, or related field