Data Scientist

5 days ago


Dearborn, United States EPITEC Full time

Position Description:

Role: 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

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

  • The position is hybrid.


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