Sr Scientist, Uber Shuttle

Sr Scientist, Uber Shuttle Department: Data Science Team: Data Scientist Location: Seattle, United States Type: Full-Time **About the Role** Uber Shuttle is looking for a scientist to work on next generation passenger transportation challenges all over the world. The shuttle science team designs vehicle networks and driver schedules, optimizes rider experience and pricing, and supports growth, marketing, and operational processes improvement through quantitative economics, machine learning, optimization, and statistical modeling. This position combines technical rigor with real-world impact, translating scientific ideas into production-ready solutions with a fast moving, startup mindset. **What the Candidate Will Need / Bonus Points** - Algorithm and model development in support of price optimization, transport service optimization, and demand forecasting. - Conducting analysis to identify data anomalies, support business decision making, and uncover insights related to customer behavior - Developing documentation and visuals, communicating outcomes to product, operations, and leadership stakeholders - Meeting with stakeholders to develop ideas, provide input on technical matters, and conduct product and business planning. - Write code for ETL and business metrics, model development and testing, and algorithm automation. Basic Qualifications - **Programing** (Python, SQL, Java, etc.) - candidate must be a competent programmer with experience in Python, GO, or Java - **Statistics** \- statistical testing and modeling, experimentation - **Analytics** \- Defining metrics, conducting deep dives and investigations using complex data models, competent in SQL, spreadsheets, and visualization software **Preferred Qualifications** - PhD in quantitative economics, transportation science, optimization, or similar fields - Advanced Analytics skills such as causal inference and non standard A/B testing - Data engineering and ETL - Advanced predictive modeling techniques, e.g. deep learning, time series / stochastic process models For San Francisco, CA-based roles: The base salary range for