1. Led data science initiatives across multiple business units (Buying, Finance, Clienteling, Digital) to support commercial decision-making through predictive modeling and customer analytics2. Projects included traffic forecasting, sales prediction and pricing simulation, customer segmentation, and model deployment using MLOps tools in AWS1. Lead data science projects, serve multiple business departments, and promote the application of models in business decision-making2. Responsible for the entire process from requirement research to model development, deployment, and optimization, including MLOps practices3. The project covers passenger flow forecasting, sales and pricing simulation, customer segmentation, and price sensitivity analysis0-1 global to chinawork life balance1. Having solid data modeling skills, able to transform complex business problems into actionable analysis solutions2. Familiar with the entire process from requirement research to model deployment, proficient in MLOps tools and cloud platform practices3. Ability to communicate across departments and drive continuous optimization and application of data projects in business scenariosA global house of iconic fashion brands,known for their craftsmanship, creativity, and distinctive brand identities. Headquartered in New York, It blends financial strength with digital innovation to empower its brands, support its people, and serve customers and communities worldwide, all while championing inclusivity, sustainability, and bold design1.Will join a dynamic data science team driving real business impact across multiple departments.2. Will have the opportunity to lead end-to-end modeling projects, from business problem framing to MLOps deployment in AWS3. This role offers exposure to strategic decision-making, cross-functional collaboration, and continuous learning in a global fashion retail environment
