Machine Learning Engineer

Stellantis is seeking a Machine Learning Engineer / Data Scientist to build statistical models and simulations that drive Vehicle Configuration Optimization (VCO) and customer-level preference simulations for optimized Vehicle Order Guides (VOGs).

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
• Convert model outputs into optimized Vehicle Order Guides (VOGs) that support product configuration decisions
• Conduct exploratory data analysis and feature engineering on complex datasets
• Partner closely with Data Engineering to refine and leverage curated datasets
• Share insights and model recommendations with business stakeholders
• Continuously evaluate and improve model accuracy and underlying assumptions

Requirements

• Experience developing statistical and machine learning models with Databricks
• Ability to perform exploratory data analysis and feature engineering on complex datasets
• Experience building and running large-scale simulations for customer behavior modeling (e.g., synthetic customer simulations)
• Experience collaborating with Data Engineering to use and improve curated datasets
• Capability to communicate insights and recommendations to business stakeholders

Data & Modeling Focus

• Historical vehicle sales
• Competitive sales data
• Feature-level willingness-to-pay data
• Customer preference models

Job Details

• Job ID: 2020000
• Career Area: Sales & Marketing
• Position Type: Salaried
• Location: Headquarters & Technology Center – Auburn Hills, 48326, US (onsite)
• Brand: FCA Group
• Date Posted: July 22, 2026

Equal Opportunity / Accessibility

• Assess candidates based on qualifications, merit, and business needs
• Welcomes applications from all people regardless of sex, age, ethnicity, nationality, religion, sexual orientation, disability, or other protected characteristics
• Believes diverse teams reflect its global identity and help address customer needs and future care
• Benefits vary by country, norms, and legal entity
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