Back to jobsMaster’s degree in a quantitative field (Statistics, Computer Science, Machine Learning, Data Science, Mathematics, Engineering) or equivalent experience.
4+ years of industry experience in data science, with a strong focus on personalization and recommendation systems.
Advanced proficiency in Python and PySpark; solid knowledge of SQL.
Hands-on experience with recommendation models (collaborative filtering, content-based, hybrid) and personalization algorithms at scale.
Strong experience with Databricks (MLflow, Feature Store, Model Serving) and Azure.
Familiarity with ML Ops practices (CI/CD for ML, model monitoring, automated retraining).
Experience managing external development teams and ensuring delivery quality.
Proven ability to work on complex, cross-functional programs in international environments.
Experience with Agile methodologies (Scrum, Kanban) is preferred.
Previous experience in Fashion & Luxury or management consulting is a plus.
Excellent communication skills; ability to bridge technical and business language.
Fluency in Italian and English, written and spoken.
