Data & AI SCIENTIST

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)
Requirements:
Basic Qualifications:
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
Preferred Qualifications:
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)