This position is responsible for working with the existing team to design, code, and implement new data products, support existing models, and support Developers and Business needs on our Microsoft Azure and Google Cloud Platform technology stack.
The Data Scientist will interact within a core team, occasionally interfacing with other business stakeholders both internally and externally.
The Data Scientist is a member of the Digital Services Factory team.

Exemple of products to build or maintain (non exhaustive):
Routine Recommendation Generation
Clustering of Consumer Profiles

The Data Scientist apprentice will also learn 
- Building Models and functionalities in the Azure Data Stack (Data Lake, Cosmos DB, Data Factory, Databricks, Azure ML, Service Bus…) but also in the Google Cloud Platform (Big Query). 
- Crawling/Scraping of data on public data. 
- Scaling and templating data use cases to integrate in a global data platform (multi-zones, multi-services). 
- Working with internal/external partners to enable them using our Models in an agile environment. 
- Working with the Data Architect and Service Managers to translate functional specifications into technical specifications.


What makes this internship unique ? 

- Support the build of new innovative Digital Consumer Services for our brands. 
- Direct impact on new L'Oréal Business Models 
- Leverage existing Consumer Insight data stack on Cloud platforms.