Uber Advertising
Staff Scientist - Ads & Offers
Uber Advertising, San Francisco, California, United States, 94199
About The Role Every day thousands of merchants use our Advertising and Offers platform to reach users on Uber to grow their businesses. The Science team on Ads & Offers designs and builds the core algorithmic components of this system. As a Staff Scientist on the team, you will work on understanding how various parts of the system (e.g., auction, pacing, bidding, ranking) are performing. You will lead the design and implementation of new algorithms to make our Ads system more efficient and performant. You will also work on the interaction of ads with the different marketing levers available to merchants, like offers. We are looking for experienced candidates who have built Ads systems and can help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, curiosity about why systems behave in certain ways, and a pragmatist’s drive to research and propose new designs.
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description. What You’ll Do
Build statistical, optimization, and machine learning models for a range of applications in the Ads & Offer space (e.g., auction, bidding, pacing, ranking).
Design and execute product experiments and interpret results to draw detailed and actionable conclusions.
Use data to understand product performance and identify improvement opportunities.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across product, engineering, and marketing to drive system development end‑to‑end from ideation to productionization.
Basic Qualifications
Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent.
Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in experimental design and analysis.
Experience with exploratory data analysis, statistical analysis and testing, and model development.
Ability to use Python or R to work efficiently at scale with large data sets.
Preferred Qualifications
6+ years of industry experience.
Proficiency in SQL.
Experience in algorithm development and prototyping.
Experience in building Ads Delivery systems.
Experience with productionizing algorithms for real-time systems.
Excellent communication and presentation skills.
Compensation and Benefits For Canada-based roles: CAD$189,000 to CAD$210,000 per year. For New York, NY: USD$212,000 to USD$235,500 per year. For San Francisco, CA: USD$212,000 to USD$235,500 per year. For Seattle, WA: USD$212,000 to USD$235,500 per year. All US locations include participation in Uber’s bonus program, potential equity awards, and other compensation; benefits are described at https://www.uber.com/careers/benefits.
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If you are considering sending an application, make sure to hit the apply button below after reading through the entire description. What You’ll Do
Build statistical, optimization, and machine learning models for a range of applications in the Ads & Offer space (e.g., auction, bidding, pacing, ranking).
Design and execute product experiments and interpret results to draw detailed and actionable conclusions.
Use data to understand product performance and identify improvement opportunities.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across product, engineering, and marketing to drive system development end‑to‑end from ideation to productionization.
Basic Qualifications
Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent.
Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in experimental design and analysis.
Experience with exploratory data analysis, statistical analysis and testing, and model development.
Ability to use Python or R to work efficiently at scale with large data sets.
Preferred Qualifications
6+ years of industry experience.
Proficiency in SQL.
Experience in algorithm development and prototyping.
Experience in building Ads Delivery systems.
Experience with productionizing algorithms for real-time systems.
Excellent communication and presentation skills.
Compensation and Benefits For Canada-based roles: CAD$189,000 to CAD$210,000 per year. For New York, NY: USD$212,000 to USD$235,500 per year. For San Francisco, CA: USD$212,000 to USD$235,500 per year. For Seattle, WA: USD$212,000 to USD$235,500 per year. All US locations include participation in Uber’s bonus program, potential equity awards, and other compensation; benefits are described at https://www.uber.com/careers/benefits.
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