What You'll Do
- Plan, design, and implement incrementality experimentation across multiple ad platforms.
- Design custom experiments including synthetic control and causal inference to measure new and emerging marketing efforts.
- Leverage statistical modeling to interpret experiment and analytical ad data.
- Support any ad hoc analysis required to design a robust experiment.
- Collaborate with the Marketing Channels team to optimize and measure the effectiveness of new and existing campaigns.
- Present findings across marketing and the broader internal science community
- Collaborate with the Product and/or Engineering teams to ensure data is available and being interpreted consistent with theoretical expectation.
- 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:
- 40% designing experiments, modeling, or measurement solutions
- 40% deep-dive analysis, results interpretation, and narrative crafting
- 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
- Experience with at least one experiment/quasi-experiment methodology: A/B Testing, incrementality experimentation, CLS, Synthetic Control, Market-Level testing, Causal inference, pre-post-analysis
- Proficiency in SQL
- Ability to use Python or R to work efficiently at scale with large data sets
Preferred Qualifications
- If PhD or M.S. in Statistics, Math, or Economics with a minimum of 1+ year of industry experience in a marketing science related role
- Drive to learn complex topics quickly.
- Strong communication skills including stakeholder management and storytelling
- Curious disposition, comfort with ambiguity and uncertainty in data.
- Previous experience in advertising tech and/or working with product and engineering teams to build scalable measurement solutions
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .