Stellantis

Machine Learning Engineer

Stellantis • $90K — $130K *
Auburn Hills, MI 48326In-Person
Manufacturing & Automotive
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's Degree required
  • 5+ years in data science, machine learning, or applied statistics
  • Strong experience with Databricks is critical
  • Proficient in Python (Pandas, NumPy, scikit-learn, PySpark)
  • Strong SQL skills
  • Solid background in statistical modeling and simulation techniques
  • Experience in translating analytical results into business decisions

Responsibilities

  • Build and run large-scale simulations to model vehicle purchase behavior
  • Develop statistical and machine learning models using Databricks
  • Leverage historical and competitive sales data, willingness-to-pay data, and customer preference models
  • Translate model outputs into optimized Vehicle Order Guides (VOGs)
  • Perform exploratory data analysis and feature engineering on complex datasets
  • Collaborate with Data Engineering to refine curated datasets
  • Communicate insights and model recommendations to business stakeholders
  • Continuously evaluate and improve model accuracy and assumptions

Benefits

  • Impactful opportunity for early-to-mid career data scientists
  • Work with large-scale data and statistical models
  • Contribute to real-world business impact
  • Collaborative environment with cross-functional teamwork
  • Development of cutting-edge vehicle optimization strategies
Full Job Description
We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO). This role will leverage curated datasets to build a customer-level preference simulation engine, enabling optimized vehicle order guides (VOGs) for future model years.

This is a highly impactful role for an early-to-mid career data scientist who enjoys combining statistical rigor, large-scale data, and real-world business impact.

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:
  • Bachelors 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)
  • Strong SQL skills
  • 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

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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