Data Scientist

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.

Your Mission

The AI & Data Analytics Team is looking for a Data Scientist. As a key member of the team, your mission is to put science into decision making.

Priorities can change in a fast-paced environment like ours, so this role entails, but is not limited to the following responsibilities:

• Partnering with cross-functional teams to prioritize domain use cases for customer engagement and monetization.
• Developing novel research to draw conclusions from data and directly influence development.
• Design, analysis, and execution of solution prototypes within your domain assignments.
• Providing technical leadership to other data scientists with a wide range of backgrounds through code reviews.
• Understanding stakeholders’ needs and educating partners on the data and technology advantages.
• Democratization of learning by sharing knowledge through internal repositories, workshops and other events.
• Evangelization of our data science practice within the company to increase research utilization and recruit new talent.

Top Performers will be able to demonstrate:

• 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.
• Measurable consumer and revenue impact through analyses, statistical models or products built.
• Qualitative and quantitative deduction from experimentation that leads to product optimization.

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.