About The Role
We are looking for a Science Manager to lead the Advertiser Science team at Uber. The Advertiser team is the demand generation side of the Uber Ads marketplace which is a critical role for our Ads business growth. This is a great opportunity for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, statistics, and/or machine learning to improve the Uber user experience as well as the overall marketplace performance.
What You Will Do
- Lead teams that design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the Ads demand generation space.
- Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps.
- Present findings to senior leadership to inform business decisions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
What You Will Need
- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Operations Research, Machine Learning, or other quantitative fields.
- Minimum 2 year of management or tech lead experience
- Strong knowledge of experimental design and analysis.
- Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Ability to use Python/SQL to work efficiently at scale with large data sets.
- Preferred Qualifications
- 8+ years of industry experience as an Applied or Data Scientist or equivalent.
- 4+ years of management or tech lead experience
- Experience in algorithm development and prototyping.
- Experience in Ads demand generation
- Experience with productionizing algorithms for real-time systems.
- Well-honed communication and presentation skills.
