Data Scientist II, Airports and Travel

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.

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 data analysis and modeling.
4. Excellent analytical skills, with experience extracting user behavior insights from large datasets.
5. Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
6. Exceptional communication skills across technical, non-technical, and executive audiences.

1. Mininum 3 years of relevant industry experience as a Product Data Scientist, Applied Scientist, or equivalent.
2. Experience in statistical methods, causal inference from observational data, and choice modeling.
3. Experience in building data pipelines, designing metrics and tables, dashboards, etc.
4. Experienced in using AI to hypercharge productivity and delivering 10x impact.
5. Prior experience in rideshare or a related domain (marketplaces or gig economy etc.).