About the Role
As part of Uber's mission to reimagine the way the world moves for the better, sharing plays a crucial role. The Shared Rides team directly contributes to Uber's growth by unlocking rides for economy riders, leveraging our matching technology to dynamically allow riders to share the cost of their trips.
As a Scientist on the Shared Rides team, you'll work on analyzing and designing algorithms behind matching multiple riders by making the right trade offs between affordability and experience, as well as finding new opportunities for expanding our shared product offerings to benefit riders, drivers and cities across the world.
What You Will Do

• Build statistical, optimization, and machine learning models for a range of applications in the delivery logistics sapce.
• Design and implement product experiments and interpret the results to draw detailed and actionable conclusions.
• Use data to understand product performance and to identify improvement opportunities.
• Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.

---- Basic Qualifications ----

• PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
• 4 years of industry experience.
• 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 testing, and model development.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in SQL.

---- Preferred Qualifications ----

• Experience in algorithm development and prototyping.
• Experience in optimization
• Experience with writing production algorithms for real-time systems
• Well-honed communication and presentation skills.

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 .
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.