Data Scientist II, Airports and Travel

About This Role

This role is for a Data Scientist II to deep dive into data and generate insights to guide the development of next-generation products for Uber travelers in the Airports and Travel segment. The Data Scientist will be a thought leader working with product managers, engineers, and other data scientists to shape the future of Uber travel products.

Responsibilities

• Solve open-ended and ambitious business problems using data, such as increasing Uber Eats usage for travelers or identifying pain points in international travel
• Develop data-driven hypotheses, run experiments to test them, and communicate results to 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 including product, engineering, and operations to drive a culture of data-driven decision making

Requirements

• Minimum 2 years experience in improving products, understanding 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

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

Nice to Have

• 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
• Experienced in using AI to hypercharge productivity and delivering 10x impact
• Prior experience in rideshare or a related domain (marketplaces or gig economy etc.)

Skills

* Required skills

Benefits