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2025 PhD Scientist Internship – Mobility Verticals and Growth Bets
| Company | Uber |
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| Location | New York, NY, USA |
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| Salary | $67 – $67 |
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| Type | Internship |
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| Degrees | PhD |
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| Experience Level | Internship |
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Requirements
- Pursuing a Ph.D. majoring in Economics, Operations Research, Statistics, Machine Learning, or other related quantitative fields
- Candidates should have at least one semester/quarter left of their education after finishing the internship
- Strong problem solving and analytical abilities
Responsibilities
- Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
- Work with engineers and product managers to turn prototypes into scalable solutions
- Present findings to leaders to inform decisions
- Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
- Conduct experiments to drive business decisions
Preferred Qualifications
- Coding proficiency in areas such as R, Spark, SQL, Python and AB Testing
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
- Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Experimental Design, Assortment Planning, Transportation
- 0-2 years of prior work experience in an analytical setting
- Organized, detail oriented and able to work independently on multiple projects at once
- Ability to communicate effectively with both technical and business partners
- Open to feedback, excellent at implementing newly learned ideas and concepts
- Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
- Independence, self-starter mindset, excellent communication, and outstanding follow-through – you energetically tackle your work and love the responsibility of being individually empowered
