Staff Scientist, Tech

About the Role

The Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.

We are looking for strong Scientists to join us in San Francisco.

---- What the Candidate Will Do ----

1. Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
2. Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
3. Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
4. Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
5. Mentor colleagues and continuously uplevel the team.

1. Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
2. Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
3. Advanced knowledge of experimental design and statistical methods.

1. Experience developing experimentation methodology and building experimentation platforms.
2. Experience with production-level software development.
3. Track record of technical leadership.