Applied Scientist II

Applied Scientist II Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** We're looking for an Applied Scientist to join our Brand Science team and provide strategic insights, measurement, and optimization for a large brand marketing budget. In the role, you'll be part of and collaborate with a cross-functional team consisting of marketing, research, media and creative. As a member of the brand science team, you will not only be able to perform complex analyses exploring our large and rich dataset, but also shape marketing and measurement strategy. You'll play a big role in finding opportunities to help the marketing function scale as we develop the global Uber brand. As an Applied Scientist, you will work on the most technically challenging projects of the science team, tackling complex causal inference questions and designing intricate experiments. Problems we’re working on include: - How long can we run a creative asset before it hits diminishing returns due to wear out? - What is the long-term impact of brand marketing and can we quantify it? - What is the most effective way to target users of strategic interest? - What are the most signal-rich proxies to use for optimization? The ideal candidate combines deep experimentation and inference knowledge with outstanding stakeholder management skills and strong business acumen to help align learning agendas with strategic priorities. You are skilled in translating a stakeholder’s questions into a data-based analysis or experimentation plan, clarifying the question we want to answer and identifying the right data to answer exactly that question. **What You'll Do** - Design measurement and optimization for a large brand marketing budget, using a toolset ranging from experimentation to survey-based methods and causal inference - Work closely with our media, research and marketing teams to develop actionable customer insights and recommendations to guide high level marketing strategy and inform improvements through the course of the campaign lifecycle - Leverage rich