Role overview
Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.
With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.
- Experience in converting data science prototypes for deployment into production purposes
- Record of designing and implementing scalable, performant data and machine learning pipelines, services, and products
- Understanding of distributed data systems and experience in using open source frameworks to build applications
- Be able to communicate collaboratively with Data Scientist, Infrastructure teams and client to understand requirements and scope
- Solid intuition when choosing the right ML/AI approaches to the problems given
- Ability to influence non-technical peers and leadership to deliver substantive change
- Mentorship for less experienced colleagues and guardian of good standards
Skills:
- MSc / MEng degree in Statistics, Computer Science, Automatic Control, STEM, Engineering or a related discipline
- 5+ years of professional experience, coding in Python or other languages
- 2+ experience in the operationalization of Data Science projects (MLOps) using Databricks+MLFlow,
- 3+ years of experience with cloud/devops stack (f.e AWS, Docker, Kubernetes),and ability to design complex architecture
- Hands-on experience with PySpark and SQL
- Working proficiency in English
Extra points for:
- Multidimensional skill set: data science, experimentation, AI, statistics, engineering, etc.
- Experience in front- and backend design and development (leveraging Django, Node.js, Streamlit or similar)
- Experience in CI/CD/CT pipeline implementation
- Good knowledge in shell scripting and networking
At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.