Scientist II, Airports and Travel

Scientist II, Airports and Travel Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** Airports and Travel is one of the fastest growing segments of Uber. We focus on creating magical end-to-end experiences for Uber travelers - be it a short business trip, or a long vacation. We own all aspects of traveling user’s experience, from pricing and promos, to tailored experience at each airport, to unique in-app travel experiences. We are looking for a Data Scientist who can deep dive into data and produce insights that can guide the development of the next generation of products for Uber travelers. You will be a thought leader who will work with product managers, engineers and fellow data scientists to shape the future of Uber travel products. You will work in a fast paced environment and use planet scale data to deliver planet scale impact. This role will need a deep understanding of data, strong communication skills, and solid knowledge of experimentation. **What the Candidate Will Need / Bonus Points** **What the Candidate Will Do** 1. Solve open-ended and ambitious business problems using data (e.g. how can we increase Uber Eats usage for travelers by 50%? What is the biggest pain point that reduces Uber usage while traveling internationally?) 2. Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy. 3. Define metrics that best measure business health, and monitor them to ensure strong execution. 4. Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making. **Basic Qualifications** 1. Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus). 2. Mininum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets. 3. Proficiency with Python and SQL for exploratory