Sr. Scientist - Mobility Matching

About the Role

Have you ever wondered why its taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you.

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Ubers scale. They ideally have a good balance of causal inference analysis, experimentation, and modeling knowledge as well as an ability to use these skills to identify business opportunities and deliver product recommendations.

What Youll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product growth and optimization initiatives.
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions.
• Analyze and contribute to development of optimization algorithms and ML models for use in mobility matching.
• Collaborate with cross-functional teams such as product engineering and operations to drive system development end-to-end from conceptualization to final product.

Basic Qualifications

• Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., AB testing and causal inference).
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis, and testing, and model development.

Preferred Qualifications

• Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., AB testing and causal inference).
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis, and testing, and model development.

For San Francisco, CA-based roles, the base salary range for this role is USD $190,000 per year - USD $211,000 per year. You will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of compensation. 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 is to reimagine the way the world moves for the better. Our 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

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.