Marketing Applied Scientist II

Role overview

Responsibilities

• check_circle Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
• check_circle Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.
• check_circle Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team.

Basic qualifications

• Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
• Strong SQL, Python and/or R foundation and expertise.
• Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).

Preferred qualifications

• Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
• A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
• Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
• Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company. Passion for Uber!