Machine Learning Engineer
Stellantis · Auburn Hills, MI · Today
SalesFull-time
Key Responsibilities
- Build and run large-scale simulations (e.g., 50,000 synthetic customers) to model vehicle purchase behavior
- Develop statistical and machine learning models using Databricks
- Leverage datasets including: Historical vehicle sales, Competitive sales data, Feature-level willingness-to-pay data, Customer preference models
- Translate model outputs into optimized Vehicle Order Guides (VOGs) that inform product configuration decisions
- Perform exploratory data analysis and 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
Basic 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 (Pandas, NumPy, scikit-learn, PySpark)
- Solid background in statistical modeling, simulation techniques, and experimental design
- Experience translating analytical results into business decisions
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
Our Benefits
- Comprehensive Health & Well-being Coverage
- Employee Assistance Program (EAP)
- Family Building Benefit
- Generous Paid Time Off
- Competitive Retirement Savings Plans
- Income Protection & Insurance Options
- Company Vehicle Lease Program
- Tuition reimbursement
- Student loan refinancing programs
- Volunteer hours