Job Description & How to Apply Below
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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.
Mission
His/her overall goal is to reduce the number of defects on our cars in the field
His/her main role is to perform pre-analysis of issues in the field: characterization & handover.
Within his/her scope of responsibility (e.g. vehicle area, propulsion, etc.), he/she is responsible for:
Detecting issues in the field
Raising alerts in case of crisis situations (or recurrence or potential media impact)
Assigning the issue to the appropriate owner (supplier, plant, engineering, aftersales) with the right level of priority; or, if the issue is already known, updating the relevant database
All available sources of issue detection should be leveraged (e.g. warranty claims, internal incident reports, connected vehicle data, etc.)
Use of AI and big data analytics tools to perform the activities.
Main Responsibilities
As a Pre-Analyst, he/she has a defined scope of responsibility (e.g. vehicle area, propulsion, engineering domain). Within this scope, he/she is responsible for:
Detecting issues in the field (safety, breakdowns or incidents)
Raising alerts in case of potential crisis situations (or recurrence or potential media impact)
Performing pre-analysis of incoming issues: assigning them to the appropriate owner (supplier, plant, engineering, aftersales) with the right level of priority; or, if the issue is already known, updating the relevant database
All activities are carried out in accordance with existing standards and are tracked through internal IT systems (Palantir/Foundry, GIM/Altis/PLM).
Use of AI and big data analytics tools for early detection,
Requirements
Degree in Engineering
Proven experience in the automotive industry
Solid understanding of both hardware and software systems
Fluent in English
Familiar with Data Lakes and AI logic
Understanding of connected vehicles and OTA data
Agile, proactive, and analytical problem solver
Strong interest in working within a global and multicultural environment
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. xpavfwm Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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