Senior Data Scientist - Retail Merchandising

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79f8sw

Overview Senior Data Scientist to lead end-to-end data science initiatives in Retail and DTC Category Management & Merchandising. You will translate business needs into scalable AI solutions, shaping analytics strategy and enabling data-driven decisions across the organization. You'll collaborate with business and AI teams to advance advanced analytics capabilities and deliver measurable impact. This role offers the opportunity to drive innovation in a global, fast-paced environment with iconic brands. Responsibilities * Design, develop, and deploy advanced data science and AI solutions (ML models, forecasting, optimization) * Build AI-powered tools for retail and assortment use cases (recommendations, forecasting, decision engines) * Explore Generative AI and multi-agent solutions with Corporate AI team * Lead end-to-end data science projects from framing to deployment and monitoring on Databricks (PySpark, MLflow) * Translate complex problems into scalable analytical solutions with measurable impact * Collaborate with stakeholders to identify high-value opportunities for innovation * Coordinate with Corporate Data & AI teams for robust implementations * Contribute to best practices,



reusable frameworks for analytics and AI * Mentor junior colleagues and drive knowledge sharing * Develop dashboards to monitor adoption of tools and solutions Requirements * Degree in Data Science, Computer Science, Engineering, Mathematics, or related fields * 4–7+ years of hands-on data science/AI project delivery * Strong Python programming and DS/ML frameworks (pandas, scikit-learn, PyTorch) * Advanced SQL and relational/lakehouse data models * Production experience deploying ML models on Databricks (PySpark, MLflow) * Experience with forecasting, optimization, NLP, and recommender systems * Ability to translate business needs into technical solutions with impact * Excellent communication and collaboration skills * Mentoring ability and independent problem-solving * Familiarity with cloud platforms and MLOps practices (nice to have) Benefits * Access to Leonardo learning platform * Flexible work conditions * Health insurance coverage * Meal vouchers/ticket restaurants * Internal rooftop canteen * Employee discounts on eyewear and care products #J-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79f8sw