You will operate as a hands-on individual contributor across data science and machine learning — scoping problems, building prototypes, running evaluations, and driving candidates to production — while partnering closely with our central Data and Data Science organization on architecture, scaled deployment, and shared ML infrastructure. Hands-on experience with AI/ML/DS, shipping demand forecasting, dynamic pricing, route or operational optimization, marketplace ranking, or real-time decisioning products at scale — for example Google Maps, Uber, Lyft, DoorDash, Airbnb, Booking, Expedia, Instacart, or comparable operators.