Sr Scientist, Uber Shuttle

About This Role

This role involves developing next-generation passenger transportation solutions globally, leveraging quantitative economics, machine learning, optimization, and statistical modeling. The scientist will translate scientific ideas into production-ready solutions with a startup mindset.

Responsibilities

• Develop algorithms and models for price optimization, transport service optimization, and demand forecasting
• Conduct analysis to identify data anomalies, support business decisions, and uncover customer behavior insights
• Develop documentation and visuals, communicating outcomes to product, operations, and leadership stakeholders
• Meet with stakeholders to develop ideas, provide technical input, and conduct product and business planning
• Write code for ETL and business metrics, model development and testing, and algorithm automation

Requirements

• Competent programmer with experience in Python, Go, or Java
• Experience with statistical testing and modeling, experimentation
• Ability to define metrics, conduct deep dives and investigations using complex data models
• Proficiency in SQL, spreadsheets, and visualization software

Nice to Have

• PhD in quantitative economics, transportation science, optimization, or similar fields
• Advanced Analytics skills such as causal inference and non-standard A/B testing
• Experience with Data engineering and ETL
• Advanced predictive modeling techniques, e.g., deep learning, time series/stochastic process models

Skills

* Required skills

Benefits