Data Scientist - ML Floor Price and Remarketing Analytics
Data Scientist - ML Floor Price and Remarketing Analytics
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1 Vacancy
Job Description
Analyze and model residual values auction prices and market drivers to support the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and their customers. A key responsibility involves utilizing a Machine Learning model to forecast the expected auction value. The results from this model are a critical input directly supporting the decision-making processes of the Ford Remarketing team and the Ford Credit Residual Risk team.
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
Qualifications
Minimum Qualifications:
- Masters degree in Statistics Econometrics Data Science or related field
- 2 years of experience using advanced modeling (including machine / deep learning statistical econometric optimization etc.) and simulation techniques in a business or academic environment
- 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.)
- Ability to effectively communicate both verbal and written across different levels of the organizations
- Experience with Excel and PowerPoint
Preferred Qualifications:
- 3 years of auto industry related work (auto marketing and sales experience a plus)
- Proficiency in Python for data analysis and model development
- Experience with XGBoost Linear Regression and nearest neighbor matching
- Experience with experimental design and analysis (e.g. A/B testing)
- Strong data visualization skills preferably using Qlik Sense
- Experience with cloud computing platforms preferably GCP
- Experience using version control systems such as Git
- Experience managing analytical datasets including data wrangling and contributing to the maintenance and operationalization of modeling code and workflows.
- Have excellent time management skills and be able to handle working on multiple projects simultaneously
- 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
You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!
Employment Type
Full-Time
