About the Role
You will be leading Applied and Data Scientists working on our Rides business! Example problems include figuring out right cancellation policy and charges for riders and drivers, how to define, measure, and mitigate defects in our fares.
What You'll Do
- Lead scientist to use large and sophisticated datasets to derive proactive actionable insights that inform strategic decisions.
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Lead scientists to build statistical, optimization, and machine learning models for a range of applications.
- Collaborate with various teams to identify key business opportunities and challenges, and develop data-driven solutions.
- Mentor junior team members, encouraging a culture of growth and development.
- Present findings to business and executive audiences.
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Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
- 5+ years of industry experience as an Applied or Data Scientist or equivalent.
- 3+ years of management or tech lead experience.
- Knowledge of underlying mathematical foundations of economics, statistics, machine learning, optimization, and analytics.
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Proficiency in SQL.
- Very strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications
- 9+ years of industry experience as an Applied or Data Scientist or equivalent.
- 7+ years of management experience.
- Experience in marketplaces.
For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 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.
Offices continue to be central to collaboration and Uber's 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.