About the Role
Maps provide the backbone of Uber’s service, from the driver and rider experience and display to the route recommendations and travel time predictions from one point to another. These routes and predictions feed into all of Uber’s decision systems, like dispatch, UberPool matching, and pricing. Our turn-by-turn navigation service allows drivers to effectively navigate while on or off trip, while our geosearch engine allows users to search for a destination or pickup point. To power these services, Uber Maps also generates base map data (the road map definition and features) and point of interest data (such as restaurants or hotels). A sister team, Sensing Inference and Research (SIR), provides location estimates for Uber’s users while they are engaging with the app; these location estimates also power the user experience and decision systems. SIR also does sensor inference modeling to support a wide variety of products, such as accident or fraud detection. Maps plays a critical role in providing a smooth and comfortable rider and driver experience on Uber’s platform, from the moment they open the app till the moment they arrive at the destinations.
We’re looking for data scientists (all levels welcome!) to contribute to all aspects of Uber Maps. We seek candidates with strong background in statistical modeling, experimentation design, machine learning, and operations research. You will be embedded in a product team and work closely with the engineers and product managers in that team. You’ll be focused on developing and analyzing experiments, proposing product metrics and frameworks to link metrics to business impact, and driving the direction of our product development via data-driven insights and algorithmic modeling. You will also be building systems for analysis and monitoring of core performance metrics.