

Sephora
Data Scientist
A data scientist at Sephora will be working under the Europe & Middle East Data & Insights Direction, a data scientists at Sephora joined the Data Science team as a Data Scientist.
A Sephora scientist will develop use cases around Artificial Intelligence & predictive analysis in a business context, following two main axes: customer experience personalization and operations optimization (recommendation engines, customer scoring, activity forecasts, dynamic pricing/promotion).

Sephora
Data Scientist (Sephora)
Responsibilities:
- Conduct business framing workshops, translating the business need to an algorithm: Proof-Of-Concept, Validate the business value created by the algorithm: Proof-Of-Value, and deploy with the IT teams
- Implementing MLOPS: Monitoring, Alerting, relearning strategy
- Measuring the Business value generated by Data Science usages: Pilot & Run, Time-To-Market
Curriculum Requirements:
β‘οΈ Artificial Intelligence/Machine Learning
β‘οΈ Python
β‘οΈ SQL
β‘οΈ Random Forest
β‘οΈ Dataiku DSS
β‘οΈ Cloud Data Platforms
β‘οΈ XGBOOST
β‘οΈ LightGBM
β‘οΈ Data Science
β‘οΈ Data Structures
β‘οΈ R
Curriculum
Courses:
Learn the skills you actually need.
-
Artificial Intelligence for Beginners: Tools to Learn Machine Learning
Learn π -
Programming for Everybody (Getting Started with Python)
Learn π -
SQL for Data Science
Learn π -
Applied Machine Learning: Algorithms
Learn π -
Introduction to Digital Transformation with Google Cloud
Learn π -
Predict Ad Clicks Using Logistic Regression and XG-Boost
Learn π -
Data Science Foundations: Fundamentals
Learn π
BEAUTY TECH
About Sephora
At Sephora, we reimagine beauty, discover new brands, and influence positive change every day. Get ready to think creatively, work strategically, and make your mark at a leading global retailer. Together, weβre evolving, innovating, and reimagining the future of beauty and retail.




Sephora

Sephora

Sephora