Uber Ads is looking to integrate ads into various surfaces across Uber Rides and Eats, optimize existing ad formats, and develop new ones to connect users with relevant businesses and help merchants grow.
Requirements
- Experience in experimental design and analysis.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics.
- Proficiency with tools such as Python or R for exploratory data analysis and modeling.
- Proficiency in SQL.
- Experience in algorithm prototyping and development.
Responsibilities
- Lead analytical initiatives for the Mobility Ads business, collaborating with cross-functional teams across disciplines such as product, engineering, and marketing to drive strategy and priorities.
- Design, implement, and analyze experiments within the Uber Eats and Uber Rides apps.
- Perform analytical deep dives to understand product performance and to identify improvement opportunities.
- Contribute to the development and refinement of scalable data science tools and methodologies.
- Communicate findings clearly to technical and non-technical leaders to influence decisions and product direction.
Other
- A degree in Statistics, Economics, Operations Research, or a related quantitative field.
- 4+ years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent (2+ years if holding a Ph.D.).
- Prior experience working on Ads.
- Exceptional communication skills across technical, non-technical, and executive audiences.
