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Uber Policy, Research & Economics team invites Data Scientist to undertake PhD Data Science Internship in San Franciso, United States of America. There are three subgroups that are hiring interns:
The Business Economics team uses research to inform business strategy, operations, and product decisions. For instance, Uber knows that the flexible work model is very valuable to Uber drivers (see Chen et al., Angrist et al.) and that dynamic pricing is vital in protecting the health and efficiency of the dispatch market (see Castillo et al.); however, it’s likely that consistency (e.g., of pricing or earnings) also carries some value for riders and drivers. What values should we put on these opposing virtues, and how should Uber alter the product to reflect them?
The Policy Economics team has ongoing projects with leading academics on topics such as labor market dynamics; occupational licensing; and the economics of marketplaces. Uber team conducts rigorous research that places the business and driver-partners in the context of the economies in which Uber operates.
The Mobility Research team conducts research on topics such as public transportation, congestion, environmental impact, micro-mobility, travel behavior, and transportation equity. Uber has ongoing projects with academics, conduct our own data investigations, and support the public policy and communications teams with other public-facing data analysis.
Data Scientist undertaking this PhD Internship will be liable for doing the following duties
Developing and executing a piece of independent research that could be used to inform business decisions or policy conversations.
Conducting rigorous, careful statistical and econometric analysis in support of our research priorities. Also, developing assets (maps, visuals, etc.) that explain the research for policy and communications needs.
Communicating cross-functionally to understand the intersection of policy, product, legal, and operations.
Furthermore, presenting the results internally; however, in some cases, the project may be developed into a public-facing piece of work.
Ph.D. student currently in your fourth year or above in Economics, Statistics, Public Policy, Urban Planning,
Transportation Research, or other quantitative social science.
At least years of quantitative research or data science experience. In addition to that, strong data skills and the ability to learn to use tools such as SQL, Python, R, and GIS mapping tools to work efficiently at scale.
The capacity to work independently and execute a research plan with minimal oversight.
The ability to organize and synthesize analyses and communicate data insights with clarity as well as enthusiasm for learning and growth.
Uber Technologies, Inc., commonly known as Uber, is an American multinational ride-hailing company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery (Uber Eats), as well as a micro-mobility system with electric bikes and scooters. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide. Moreover, its platforms are assessable via their websites and mobile apps.