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Mindlance

Data Scientists Modeling

Mindlance, Dearborn, Michigan, United States, 48120


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