Overview As a Data Scientist in Ferrero's Global Data Science & AI team, you solve complex business challenges with analytics and AI at scale. You will build and deploy AI-driven models across categories and geographies, shaping strategic decisions and supporting growth. The role emphasizes production-ready solutions, data integrity, and automation to enable cross-functional decision making.
You'll work with cutting-edge methods and collaborate to elevate the company's analytics capabilities.
Responsabilità Analyze diverse datasets (internal and external) to answer business questions across categories/geographies Develop, test, and deploy models using traditional ML, Generative AI, and Retrieval-Augmented Generation (RAG)
techniques Design robust data cleaning and classification procedures to ensure data quality for modeling/reporting Automate analytical pipelines and explore AI-driven data preparation and model validation Create interactive Power BI dashboards and self-service UI solutions for stakehodlers Collaborate with data scientists and cross-functional partners to share knowledge and drive innovations Requisiti fondamentali Master in Mathematics, Econometrics, Statistics, Engineering, or equivalent quantitative field Solid experience in Advanced Analytics with modelling techniques and statistical concepts Familiarity with modern AI approaches Knowledge of manufacturing operations, supply chain, and product quality environments (advantage) Proficiency in Python;
experience with Power BI, Azure, Spark, Scala Familiarity with Databricks and MLOps principles Strong analytical, creative, and test-and-learn mindset Fluent in English; able to manage stakeholders and translate analytics to business terms analytical mindset creativity stakeholder management Python Power BI Azure
📌 Data Scientist - Night Shift (Alba)
🏢 Ferrero
📍 Alba
Candidati a questo annuncio
Mostra le tue capacità professionali all'azienda, compila il form e lascia un tocco personale nella lettera di presentazione, aiuterà il recruiter nella scelta del candidato.