Uber
Staff Scientist, Ads & Offers
Uber, San Francisco, California, United States, 94199
About the Role
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.Ads is one of the fastest growing lines of businesses at Uber. Every day thousands of advertisers use our Advertising platform to reach users on the Uber platform to help grow their businesses. The Science team on Ads Delivery designs and builds the core algorithmic components of the Ads Delivery 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 Delivery system more efficient and performant.
We are looking for experienced candidates, who have had experience building Ads Delivery systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, have the drive to research / propose new system designs and is a pragmatist.
What You'll Do
Build statistical, optimization, and machine learning models for a range of applications in the Ads Delivery space (e.g. auction, bidding, pacing, ranking).
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
Use data to understand product performance and to identify improvement opportunities.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
3+ years of industry experience as an Applied or Data Scientist or equivalent.
Knowledge of 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 to work efficiently at scale with large data sets.
Proficiency in SQL.
Preferred Qualifications
6+ years of industry experience.
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.
#J-18808-Ljbffr
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.Ads is one of the fastest growing lines of businesses at Uber. Every day thousands of advertisers use our Advertising platform to reach users on the Uber platform to help grow their businesses. The Science team on Ads Delivery designs and builds the core algorithmic components of the Ads Delivery 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 Delivery system more efficient and performant.
We are looking for experienced candidates, who have had experience building Ads Delivery systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, have the drive to research / propose new system designs and is a pragmatist.
What You'll Do
Build statistical, optimization, and machine learning models for a range of applications in the Ads Delivery space (e.g. auction, bidding, pacing, ranking).
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
Use data to understand product performance and to identify improvement opportunities.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
3+ years of industry experience as an Applied or Data Scientist or equivalent.
Knowledge of 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 to work efficiently at scale with large data sets.
Proficiency in SQL.
Preferred Qualifications
6+ years of industry experience.
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.
#J-18808-Ljbffr