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We’re looking for an Applied Scientist to join our Brand Science team to provide strategic, actionable insights around how to measure and optimize a large brand marketing budget. In the role, you’ll be part of and collaborate with a cross-functional team consisting of marketing/media stakeholders, our in-house research and insights team, as well as other scientists across the broader organization.
Job Responsibility:
Apply statistical/econometric methods to estimate the incremental impact of changes in marketing and product strategy on brand-relevant KPIs like sentiment, awareness, and purchase intent – as well as on business outcomes like trips/orders and gross bookings
Build and improve technical tools for marketing problems
Interface closely with external partners to deeply understand the existing capabilities and limitations of their platforms and solutions, and to push the envelope on what is possible
Collaborate with our in-house media, research, product, and operations teams to develop actionable customer insights and recommendations to guide high level business and marketing strategy
Requirements:
Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields is preferred
If M.S. degree, a minimum of 2+ years of industry experience required
if B.S. degree a minimum of 3+ years of industry experience required
Advanced skills in SQL, Python, and BI tools for data analysis/visualization
In-depth understanding of and experience with experimental design
Nice to have:
Experience with solving quantitative problems in the marketing/AdTech space
PhD in a quantitative field such as statistics, economics, or operations research
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