Machine Learning Engineer

Stellantis; Auburn Hills (MI); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Company Vehicle Lease Program

Tuition reimbursement

18 paid volunteer hours per year

Health & Well-being coverage

Job summary

Stellantis is seeking a Machine Learning Engineer / Data Scientist to build advanced statistical models and simulations driving Vehicle Configuration Optimization (VCO). You will develop a customer-level preference simulation engine using curated datasets to optimize vehicle order guides for future model years.

The role requires 5+ years in data science or ML, strong Databricks experience, and fluency in Python and SQL.

Qualifications

• Bachelor's Degree required.
• 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.

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 data, feature-level willingness-to-pay data, and customer preference models.
• Translate model outputs into optimized Vehicle Order Guides (VOGs) for product configuration decisions.
• Perform exploratory data analysis and feature engineering on complex datasets.
• Collaborate 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.

Skills

Data science

Machine learning

Statistics

Python

SQL

Statistical modeling

Experiment design

Business impact

Education

Bachelor's degree

Tools

Databricks

PySpark

Spark

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.

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

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

EOE / Disability / Veteran