Scientist II, Earner Experience

Scientist II, Earner Experience Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products. **What the Candidate Will Need / Bonus Points** - Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production. - Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. - Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation. - Leverage data to understand product performance and to identify improvement opportunities. - Design product experiments and interpret the results to draw detailed and impactful conclusions. - Communicate with senior management and multi-functional teams. - Provide recommendations to assist quick product ideation and feature launch decisions. - Build intelligent data-driven products to provide the best user experience. **Basic Qualifications** - 2+ years of industry experience in data science, analytics, or a related quantitative role. - Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research). - Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis. - Demonstrated experience designing and analyzing large-scale A/B experiments. - Proven ability to lead projects, work autonomously, and navigate ambiguity. **Preferred Qualifications** - M.S. or Ph.D. in a quantitative field (e.g., Statistics, Econom