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.

• 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 Power
  
  BI / Fabrics tool (incl. DAX programming language)
• Deep learning frameworks (Pytorch, Tensorflow, …)
• Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)