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Innovation Endeavors

Applied Scientist II - Eats Pricing



San Francisco, CA, USA
Posted on Wednesday, September 13, 2023
About The RoleWe are hiring an Applied Scientist II for the Eats Pricing team! Our team is developing algorithms to find the perfect price every time an agent makes a decision within our marketplace.We use elements of modeling, causal inference, forecasting, and optimization to design prices that dynamically align both customers and partners interests while maximizing on the value created by the marketplace. What You Will Do
  • Develop algorithms for optimizing prices at scale.
  • Design pricing experiments and use data for model training and pricing decisions.
  • Use data to understand product performance and to identify improvement opportunities.
  • Present findings to senior management to advise on business decisions.
  • Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.
Basic Qualifications
  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (a minimum of 2+ years of applicable industry experience for candidates without Ph.D).
Preferred Qualifications
  • 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 a language like Python or R to work efficiently at scale with large data sets.
  • Proficiency in languages like SQL.
  • Strong communication skills, including through documentation and presentations.
  • Experience working in a marketplace-related problem space, esp. pricing optimization
  • Experience designing large-scale price experiments and using the data for pricing decisions.
  • Experience designing model architectures for pricing algorithms.
  • Self-motivated with the ability to work independently and a strong passion to learn and grow
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.For San Francisco, CA-based roles: The base salary range for this role is $149,000 per year - $165,500 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.