Principal Scientist - Lever Efficiency

About the Role

Uber has a broad set of levers including pricing matching search and customer support that shape customer experience marketplace health long term growth and profitability. In this role you will lead the creation and rollout of a company wide efficiency measurement framework to identify and unlock untapped arbitrage opportunities across the business.

Uber operates on a massive interconnected marketplace where levers like pricing matching search and customer support arent just independent tools-they are the engine of our business. As a Principal Scientist for Lever Efficiency you arent here to manage a steady state you are here to build the unified measurement framework that identifies where our next billion dollars of efficiency will come from.

This is a high-stakes high-ambiguity role. You will be tasked with finding arbitrage opportunities - places where our digital decisions and real-world impact are out of sync. This requires more than just technical brilliance in econometrics and causal inference it requires the grit to challenge existing assumptions and the leadership to align dozens of independent science teams toward a single source of truth. The pace is fast the systems are complex and the answers arent in a textbook. If you thrive on taking messy data and turning it into a strategic roadmap that moves the needle for a global business this is where youll grow.

What Youll Do

• Architect and Lead the creation of a company-wide efficiency measurement framework defining how we value every lever from rider promotions to support investments
• Navigate Ambiguity to identify massive measurement gaps across budgeted and unbudgeted initiatives proposing and executing experiments to close them
• Partner and Influence scientists and product leaders across the company building the data foundations and visualizations required to see the big picture of Ubers efficiency
• Scale through Systems by designing and executing complex experiments to validate and quantify the largest identified opportunities often working with imperfect information
• Communicate with Impact synthesizing complex causal findings into clear compelling narratives for senior business leaders and executive audiences to drive investment decisions
• Own the Outcome by prioritizing opportunities with the greatest business impact ensuring we arent just measuring for the sake of science but for the sake of the real world
• Raise the Bar for technical leadership acting as a multiplier who identifies opportunities for better performance and reduction of science debt across the organization

Basic Qualifications

• Industry Experience 8 or more years of industry experience as an Applied Scientist Data Scientist or equivalent with a track record of solving strategically important problems.
• Domain Expertise Deep expertise in long-term value measurement incrementality and efficiency analysis within a high-scale environment.
• Technical Foundations Mastery of experimental design causal analysis statistics and optimization.
• Tools High proficiency in SQL and Python to handle and scale models for large-scale datasets.
• Strategic Communication Ability to translate complex technical concepts into actionable business strategy for non-technical stakeholders.

Preferred Qualifications

• Education PhD in Economics Statistics or a related quantitative field.
• Experience 10 or more years of industry experience specifically building and scaling robust data foundations across large disparate organizations.
• Advanced Econometrics Strong background in structural modeling or advanced econometric techniques to evaluate trade-offs between short-term velocity and long-term sustainability.
• Leadership through Influence Proven ability to get alignment and buy-in for multi-org technology or measurement transformations.

Compensation

For New York NY-based roles The base salary range for this role is USD288000 per year - USD320000 per year. For San Francisco CA-based roles The base salary range for this role is USD288000 per year - USD320000 per year. For Sunnyvale CA-based roles The base salary range for this role is USD288000 per year - USD320000 per year. For all US locations you will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits

Ubers Mission

Ubers mission is to reimagine the way the world moves for the better. Bold ideas create real-world impact challenges drive growth and speed fuels progress. What moves us moves the world - lets move it forward together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. If you have a disability or special need that requires accommodation please let us know by completing this form https://forms.gle/DWTk9k6xtMU25Y5A

Office Expectations

Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely Uber expects employees to spend at least half of their work time in their assigned office. For certain roles such as those based at green-light hubs employees are expected to be in-office for 100 of their time. Please speak with your recruiter to better understand in-office expectations for this role.