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
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