Senior Scientist, Earner Experience

Senior Scientist, 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. This role will have a particular focus on offer decision making and preferences. **What the Candidate Will Need / Bonus Points** **What the Candidate Will Do** 1. Use data to understand product performance and to identify improvement opportunities. 2. Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings. 3. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions. 4. Present findings to inform business decisions. 5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization. **Basic Qualifications** 1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. 2. Mininum 4 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry). 3. Experience in experimental design and analysis. 4. Experience with exploratory data analysis, statistical analysis and testing, and model development. 5. Proficiency in Python/R and SQL. **Preferred Qualifications** 1. Minimum 6 years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles. 2. Experience in using Python to work efficiently at scale with large data sets. 3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics. 4. Experience in algorithm development and prototypin