Uber is in over 700+ cities (500+ for Uber Eats), 65 countries, and has completed over 15 billion rides. At such a scale, Uber provides access to safe and reliable transportation for 100 million monthly active riders with 15 million trips every day, providing opportunity for millions of drivers. Outside of rideshare, we are also constantly innovating in newer territories, such as Uber Eats, Uber Freight, and personal mobility devices. Our massive scale and global presence deliver unique data science problems. To tackle these challenges, we need top talent and diverse perspectives from across the data science and engineering realms.
This event is about celebrating and sharing some of the work done by data scientists at Uber. Attendees will learn: how surge pricing moves driver-partners, data-driven zone segmentation and naming are generated, reinforcement learning is derived from state observations, and conversational AI is used at Uber.
This event is organized by WiSDOM (Women in Statistics, Data, Optimization and Machine learning), the community of and for women working in data at Uber.