Data Scientist
Pubblicato il 25-10-2026 - Ferrero in Alba
Overview
In this role you will transform diverse data into actionable insights to support strategic decisions across Ferrero’s global markets. You will work within the Global Data Science & AI team to solve complex business challenges using advanced analytics and AI-driven methods, with emphasis on production readiness and scalability. You’ll collaborate with cross-functional partners to deliver contextual insights through dashboards and self-service tools, driving data-informed growth. The opportunity centers on leveraging cutting-edge techniques while shaping Ferrero’s analytics capabilities. This role offers remote flexibility and exposure to high-value projects across categories and geographies.
Retribuzione / Benefits
- remote work up to two days per week
- competitive base salary with annual variable component
- focus on growth and innovation
- international exposure
- diverse and inclusive culture
- career development opportunities
Responsabilità
- Analyze diverse data sources (sales, marketing, promotions, pricing, macro indicators) and build statistical and AI models
- Develop and deploy analytical solutions using traditional ML and emerging approaches like Generative AI and Retrieval-Augmented Generation (RAG)
- Design data cleansing and classification pipelines for retail sell-out, eCommerce, digital shelf metrics, shopper behavior, surveys, and third-party datasets
- Create automation scripts for analytical pipelines and explore AI-powered data preparation, processing, and model validation
- Build interactive Power BI dashboards and develop self-service tools for stakeholder access to insights and models
- Collaborate with a team of data scientists and cross-functional partners to foster innovation and adopt new technologies
Requisiti fondamentali
- Master in Computer Science, Information Technology, Mathematics, Statistics or related field
- experience in applied data science roles, ideally in FMCG manufacturing
- proficiency in Power BI, Azure, Spark, Scala, and Google Analytics
- familiarity with Databricks is advantageous
- strong analytical and communication skills in English
- ability to translate analytical results into business recommendations
- creativity
- test-and-learn mindset
- strong communication
- Power BI
- Azure
- Spark