You will lead the Data Science function and own how our client turn petabytes of ecommerce data into production-grade intelligence. Your team builds the models, experimentation frameworks, and ML systems that power personalization, forecasting, pricing, search, and automated marketing across our platform. This role is both strategic and hands-on. You’ll set the research direction and ensure models ship reliably to millions of end shoppers.
Data Science Vision & Strategy
Define the 2 to 3 year strategy for applied AI in commerce. Identify high ROI problems in merchandising, lifecycle, attribution, fraud, and supply chain where ML can create defensible product advantage.
Model Development & Research
Lead development of production models including recommender systems, LLMs for catalog and content, demand forecasting, LTV prediction, anomaly...