Uber Jobs

About the Role
Have you ever wondered why it's 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 Uber's 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 You'll 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., 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., A/B 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

• 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Ph.D. in a relevant quantitative field.
• Deep expertise in areas such as marketplace experimentation, causal inference, ML, or optimization, particularly in the context of multi-sided platforms, incentive systems, or logistics.
• Proficiency in SQL.
• Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems.
• Demonstrated ability to translate complex analytical results into clear, actionable insights and influence product and business strategy.
• Excellent communication and presentation skills, with the ability to articulate technical concepts to diverse audiences, including senior leadership.
• Experience leading technical projects and influencing the scope and direction of research.
• Familiarity with big data technologies (e.g., Spark, Hive, HDFS).
• Strong business acumen and the ability to shape vague questions into well-defined analytical problems and success metrics.

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 Sunnyvale, CA-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 compensation. 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