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We are looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. The scope of this role is global and spans Uber’s Rides and Eats business.
Job Responsibility:
Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities
Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts
Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber’s senior leadership team
Requirements:
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
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)
Nice to have:
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
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan