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)
Skills Required
- Master in Data Science / Computer Science
- 5 years of relevant experience in ICT and/or Supply Chain
- Knowledge of Big Data frameworks and platforms like Spark, Databricks, Snowflake
- Strong programming skills in Python and SQL
- Knowledge of advanced statistical techniques and concepts
- Knowledge of machine learning techniques
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
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.
