Machine Learning Engineer

This Machine Learning Engineer / Data Scientist position at Stellantis focuses on building statistical models and simulations to support Vehicle Configuration Optimization (VCO). The work uses a customer-level preference simulation engine to produce optimized Vehicle Order Guides (VOGs) for future model years.

Key Responsibilities

• Develop and run large-scale simulations (for example, 50,000 synthetic customers) to model vehicle purchase behavior.
• Create statistical and machine learning models using Databricks.
• Use curated datasets that may include:
  • Historical vehicle sales
  • Competitive sales data
  • Feature-level willingness-to-pay data
  • Customer preference models
• Translate model outputs into optimized Vehicle Order Guides (VOGs) to inform product configuration decisions.
• Conduct exploratory data analysis and perform feature engineering on complex datasets.
• Work closely with Data Engineering to refine and leverage curated datasets.
• Communicate insights and model recommendations to business stakeholders.
• Continuously evaluate model accuracy and assumptions, and implement improvements over time.

Required Qualifications

• Bachelor’s Degree (required).
• Minimum 5 years of experience in data science, machine learning, or applied statistics.
• Strong experience with Databricks (critical requirement).
• Proficiency in Python, including Pandas, NumPy, scikit-learn, and PySpark.
• Strong SQL skills.
• Solid background in statistical modeling, simulation techniques, and experimental design.
• Experience translating analytical results into business decisions.

Technologies

• Databricks
• Python
• Pandas, NumPy
• scikit-learn
• PySpark
• SQL
• Spark

Preferred Qualifications

• Experience with choice modeling, conjoint analysis, or demand modeling.
• Background in automotive, pricing, or product optimization analytics.
• Experience working with large-scale simulation frameworks.
• Familiarity with Spark and distributed computing.
• Exposure to MLOps or model productionization.

Location and Work Model

Auburn Hills, MI (onsite)