We translate data into the decisions that shape how people and things move in the real world. Our teams use experimentation, causal inference, and machine learning to solve the problems that power the platform — from dynamic pricing and marketplace efficiency to safety, sustainability, and personalization. Some scientists focus on using data to inform business decisions and optimize operations. Others bridge research and production, building and deploying models that drive our systems in real time. Most work end to end: owning metrics, experimentation, and the technical solutions that move our products forward.

Here, curiosity meets impact. The work is hands-on, collaborative, and visible. You’ll see your models, insights, and ideas show up in a product used by millions every day.