Staff Scientist - Ads & Offers
About the role
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 had experience building Ads 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 & Offer 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., 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 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.
For Canada-based roles: The base salary range for this role is CAD$189,000 per year - CAD$210,000 per year. For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.
Staff Scientist - Ads & Offers
About the role
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 had experience building Ads 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 & Offer 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., 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 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.
For Canada-based roles: The base salary range for this role is CAD$189,000 per year - CAD$210,000 per year. For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.