Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale. Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde. Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain. Pour réussir ces transformations, l'entreprise a besoin de tous les talents. Rejoignez-nous ! Chez Stellantis, nous évaluons les candidats selon leurs qualifications, leurs mérites et les besoins du métier. Nous accueillons les candidatures des personnes de tout genre, âge, ethnie, nationalité, religion, orientation sexuelle, et handicap. La diversité de nos équipes nous permettra de mieux appréhender l'évolution des besoins de nos clients et de notre environnement futur.DESCRIPTION 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, Purchasing…) He/She will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. He/She 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. MISSIONS 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)Soft skills Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives Ability to work within a team and with a proactive attitude Ability to communicate and summarize technical topics for non-technical audience (incl. leadership) Tech skillsMain skills Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, …) Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks Programming in Python (Scikit-learn, Numpy, Pandas, …) Deep learning frameworks (Pytorch, Tensorflow, …) Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake Strong programming skills in Python and SQL Other skills AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated Palantir Foundry platform Profile Master in Data Science / Computer Science [PhD is a plus] Seniority: 3+ yrs of experience