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)
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)
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
