Data & AI Scientist
StellantisFrance6 days ago
Full-timeEngineering, Information Technology
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Description
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, Purchasing…) He/She will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. He/She 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.
MISSIONS
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)
Profil
Please submit your application, including your CV in English.
Soft skills
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
Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)
Tech skillsMain skills
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
Programming in Python (Scikit-learn, Numpy, Pandas, …)
Deep learning frameworks (Pytorch, Tensorflow, …)
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
Other Skills
AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
Palantir Foundry platform
Profile
Master in Data Science / Computer Science [PhD is a plus]
Seniority: 3+ yrs of experience
At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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, Purchasing…) He/She will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. He/She 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.
MISSIONS
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)
Profil
Please submit your application, including your CV in English.
Soft skills
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
Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)
Tech skillsMain skills
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
Programming in Python (Scikit-learn, Numpy, Pandas, …)
Deep learning frameworks (Pytorch, Tensorflow, …)
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
Other Skills
AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
Palantir Foundry platform
Profile
Master in Data Science / Computer Science [PhD is a plus]
Seniority: 3+ yrs of experience
At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
Key Skills
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