About the Role
As a Sr. Scientist on the Ads Surfaces team, you will guide how ads are integrated into a myriad of different surfaces across Uber Rides and Eats. You will be a thought partner for a wide breadth of topics ranging from optimization of existing ad formats to ideation and implementation of entirely new ones to interactions between ads and non-ad products. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape key pillars of Uber’s ads strategy.
What You’ll Do
- 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.
Basic Qualifications
- 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.).
- 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.
Preferred Qualifications
- 5+ years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent.
- Prior experience working on Ads.
- Proficiency in SQL.
- Experience in algorithm prototyping and development.
- Exceptional communication skills across technical, non-technical, and executive audiences.
For New York, NY-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.