Job ID: 2013409
Career Area: Supply Chain
Job Category: Salaried
Location: Headquarters & Technology Center – Auburn Hills
48326, US
Date Posted: December 19, 2025
Brand: FCA Group
The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods.
Job responsibilities include but not limited to:
- Merge large, complex data sets that meet business requirements
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Writing and refactoring the code into reusable libraries and API
- Support business analytics initiatives across SC departments
- Facilitate the internal and external data science & AI network
- Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)
EOE/Disability/Veteran
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.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.