About the Role
An ideal candidate would have a good balance of experimentation expertise and statistical model, with a deep understanding of one of the areas. Previous experience in advertising measurement or in a similar field is a plus.
- - - - What the Candidate Will Do ----
- Be in charge of productionizing models that estimate the marginal effectiveness of multiple marketing channels.
- Work with the Finance team to develop data-driven models to optimize marketing budgets and ensure efficient allocation of resources.
- Collaborate with the Product and/or Engineering teams to make the necessary data available (when applicable).
- Collaborate with the Marketing Channels team to design and implement A/B tests to measure the effectiveness of new campaigns.
- Support any ad hoc analysis required to design a robust experiment.
- Partner with internal customers, including Operations, Finance, Product, and the Channel team, to develop paid marketing strategies.
- Collaborate with other science teams in marketing and other organizations to improve Uber’s measurement solutions.
- Here is what the typical day would look like :
- 60% modeling, designing experiments or measurement solutions
- 20% deep-dive analysis on campaign performance
- 20% stakeholder meetings
- - - - Basic Qualifications ----
- PhD, M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
- Knowledge of underlying mathematical foundations of statistics, statistical modeling, and experimentation
- Proficiency in SQL
- Ability to use Python or R to work efficiently at scale with large data sets
- Experience with big data using technologies like Spark and Hive
- Experience with production statistical or ML models
- - - - Preferred Qualifications ----
- If PhD a minimum of 1+ year of industry experience required as an Applied Scientist or equivalent required, if M.S. degree, a minimum of 4+ years, and if Bachelor’s degree, a minimum of 8+ years required
- Drive to learn complex topics quickly
- Previous experience in advertising tech and/or working with product and engineering teams to build scalable measurement solutions
For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.