Sr Scientist, Earner Experience

About the Role

Key Responsibilities

• Deploy a wide variety of methodologies, including advanced experimentation and econometric modeling, to evaluate technical, product, and business decisions
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions
• Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives and shape long-term strategy
• Present findings to business and executive audiences

Requirements

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or another quantitative field
• Ability to code in Python or R
• Strong SQL skills. If you don't know SQL, you should learn it for the interview-it's useful!
• Experience in experimental design and analysis (e.g., A/B and/or market-level experiments)

Nice to Have

• 4+ years of industry experience as a Data Scientist or equivalent
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
• Experience collaborating with very senior stakeholders to drive strategy
• Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods
• Experience in building consumer-facing products in a technology company
• Building Machine Learning and Deep Learning models
• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment
• Experience guiding and mentoring other Scientists

Qualifications

• Educational background in Statistics, Economics, Mathematics, Computer Science, Machine Learning, or Operations Research

Benefits & Perks

• Eligible to participate in Uber's bonus program
• May be offered an equity award & other types of compensation
• Eligible for various benefits as detailed at https://www.uber.com/careers/benefits