Job Information
Uber Senior Scientist - Marketplace Objectives (Session Value) in San Francisco, California
About the Role
Uber's Marketplace organization is tasked with designing pricing and dispatch algorithms to improve marketplace efficiency. We try to balance the needs of riders and earners on our platform and are responsible for growing the business by improving our users' experiences while achieving the company's financial goals. We build optimization algorithms, ML models, and the scalable systems that serve them across hundreds of markets globally.
The Session Value team is a new effort within Marketplace to help create a central mechanism to score our decisions incorporating both short-term and long-term effects on our riders and earners. Put differently, the team is responsible for defining a central marketplace objective that will then be optimized for across all Marketplace systems and as such will help decide the direction for the entire marketplace.
The team is a mix of experienced engineers and scientists with diverse backgrounds (such as Economics, ML and Operations Research) focused on understanding complex marketplace dynamics and user behavior.
You will be working to explore our vast datasets to better understand user behavior in order to help design measurement experiments and design causal models to inform objectives across all marketplace optimization systems. Given the cross-functional nature of the project, your work will be influencing Uber's top and bottom line and have a real tangible impact on customer experience. As an early member of the team, you will have the opportunity to define the direction of the product and deliver great impact.
What the Candidate Will Do
In this role, you will be joining a high-priority effort to:
Build a central marketplace objective across riders and earners.
Help define measurements/experiments to identify the long-term effects of changes to pricing policies, dispatch policies (e.g. ETAs), etc...
Build scalable systems that allow all Marketplace optimization systems to score hundreds of thousands of decisions per second in real-time.
Create a validation framework to monitor performance and identify areas of improvement.
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
Knowledge of experimental design and analysis
Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development
Ability to use Python to work efficiently at scale with large data sets
Proficiency in SQL
Preferred Qualifications
Expertise in causal inference and advanced analytical methods focused on understanding user behaviors
3 years of industry experience
Experience in model or algorithm development in two-sided marketplace platforms
Strong communication and stakeholder management skills
For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. 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.
Uber is proud to be an Equal Opportunity/Affirmative Action 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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform