27 ott - Alba
Ferrero
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
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