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)

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)