Data Scientist II, Airports and Travel

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 Do

• 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?)
• Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy.
• Define metrics that best measure business health, and monitor them to ensure strong execution.
• Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making.

Basic Qualifications

• 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).
• Minimum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets.
• Proficiency with Python and SQL for exploratory data analysis and modeling.
• Excellent analytical skills, with experience extracting user behavior insights from large datasets.
• Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
• Exceptional communication skills across technical, non-technical, and executive audiences.

Preferred Qualifications

• Minimum 3 years of relevant industry experience as a product data scientist, applied scientist, or equivalent.
• Experience in statistical methods, causal inference from observational data, and choice modeling.
• Experience in building data pipelines, designing metrics and tables, dashboards, etc.
• Experienced in using AI to hypercharge productivity and delivering 10x impact.
• Prior experience in rideshare or a related domain (marketplaces or gig economy etc.).