This role at Stellantis is focused on building statistical models and simulations that support Vehicle Configuration Optimization (VCO). You will develop a customer-level preference simulation engine to produce optimized Vehicle Order Guides (VOGs) that inform vehicle configuration decisions.
Role Overview
As a Machine Learning Engineer, you will design and run large-scale simulations, develop models in Databricks, and convert model outputs into practical VOG recommendations. The position involves exploratory data analysis, feature engineering, and close collaboration with Data Engineering to use curated datasets effectively.
Key Responsibilities
- Build and execute large-scale simulations (for example, 50,000 synthetic customers) to model vehicle purchase behavior.
- Develop statistical and machine learning models using Databricks.
- Translate model outputs into optimized Vehicle Order Guides (VOGs) used for product configuration decisions.
- Conduct exploratory data analysis and perform feature engineering on complex datasets.
- Collaborate closely with Data Engineering to refine and leverage curated datasets.
- Communicate insights and model recommendations to business stakeholders.
- Continuously evaluate and improve model accuracy and assumptions.
Data and Modeling Focus
Your modeling work will draw on datasets including:
- Historical vehicle sales
- Competitive sales data
- Feature-level willingness-to-pay data
- Customer preference models
Technology
Job Details
- Job ID: 2020000
- Career Area: Sales & Marketing
- Position Type: Salaried
- Location: Headquarters & Technology Center – Auburn Hills, 48326, US (onsite)
- Date Posted: July 22, 2026
- Brand: FCA Group
Equal Opportunity Statement
Stellantis assesses candidates based on qualifications, merit, and business needs. Applications are welcome from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. Stellantis believes diverse teams reflect its identity as a global company and enable it to better address the evolving needs of customers while caring for the future.
Benefits reflect the Stellantis commitment to supporting personal and professional goals. Employee packages may vary by country, customary norms, and the legal entity into which you are hired. Stellantis also notes that you can review the specific Privacy Statement provided by the respective entities whose job offer you have selected for information on how your personal data is processed.
