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)
- Master in Data Science / Computer Science
- 5 years of relevant experience (i.e. ICT and/or Supply Chain)
- 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
- 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
- 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
- PhD
- Experience in a multinational (global) work environment
- AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
- Palantir Foundry platform
- Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
- Deep learning frameworks (Pytorch, Tensorflow, …)
- Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)
Top Skills
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
