About the Role
The Consumer Pricing & Incentives DS team uses data to improve and automate all aspects of Uber's core mobility and delivery products, as we drive growth, retention, engagement, and affinity on the Uber platform. This includes providing insight into how pricing, surge and incentives is working and offering opportunities for improvement; understanding consumer adoption and engagement and identifying opportunities for product evolution; designing and analyzing experiments to understand the effects of pricing changes and/or incentives on rider and eater behaviors/conversion/engagement.
What You Will Do
- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
- Design experiments and interpret the results to draw detailed and impactful conclusions
- Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
- Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
- Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives
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Basic Qualifications
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Ability to use Python, SQL, R Spark, or similar technologies to work efficiently with large data sets
- Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
Preferred Qualifications
- 4+ years of industry experience as an Applied or Data Scientist or equivalent.
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience leading key technical projects and substantially influencing the scope and output of others.
- Experience communicating qualitative research methods and findings to non-qualitative researchers.
- Solid theoretical and applied ML skills and a strong background in mathematics and stat
- Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
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.