Data Scientist

26 ott - Cuneo
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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