Are you interested in working at the intersection of growth hacking, applied machine learning, engineering, and advanced data analysis? Do you have an interest in developing and applying quantitative scalable solutions related to Uber's growth problems? If so, then this is the job for you.
Machine Learning Data Scientists on the Global Intelligence team work closely with product, engineers, marketing and operation teams to address major growth problems such as driver/rider preference, engagement and churn. You will take the lead on identifying patterns of driver/rider choices, developing the intelligent system to interact with Uber's millions of drivers and riders.
We are looking for people with advanced quantitative degrees who are comfortable enough with research methodologies to address critical business and engineering problems, and who are enthusiastic about dealing with complicated structured/unstructured data. You should also have demonstrable programming skills and be comfortable with engineering development process.