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