Remote Data Scientist

Pubblicato il 03-11-2026 · Ferrero · 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
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