Data Scientist - ML Floor Price and Remarketing Analytics
Dearborn, MI
Full-time
Hybrid
Entry, Mid Level
Ford Motor Company is a global leader in the automotive industry, and they are seeking a Data Scientist to support their Used Vehicle Analytics team. The role involves analyzing auction prices and market drivers, utilizing machine learning models to forecast expected auction values, and providing insights to support decision-making processes.
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
Qualification
Required
Master’s 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
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
Benefit
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
