FAQs
What is the duration of the internship?
The PhD Applied Scientist Internship is a 12-week program during Summer 2025.
What type of projects will interns be working on?
Interns will work on real-world Uber problems within the Road Safety team, conducting analyses, designing experiments, and developing machine learning models.
Are interns paired with a mentor during the internship?
Yes, interns will work closely with a mentor to define business problems, scope projects, and develop data-driven solutions.
What qualifications are required for applicants?
Applicants must be current Ph.D. students in related quantitative fields, with knowledge of statistics, machine learning, optimization, experimental design, and causal inference.
Is familiarity with SQL necessary for this position?
Yes, familiarity with SQL is a basic qualification for the internship.
What programming languages should applicants be familiar with?
Applicants should be familiar with programming languages such as R and Python.
Are there any preferred qualifications for candidates?
Yes, preferred qualifications include effective communication skills, a research-oriented mindset, independence, and experience with data analysis and model development.
Does the internship offer opportunities to present findings?
Yes, interns will have opportunities to present their findings to leaders to inform product and policy decisions.
What is the main focus of the Road Safety team?
The Road Safety team focuses on applying data science and analytics to initiatives aimed at making safety events rarer on the Uber platform.
Are international students eligible to apply?
The job description does not specify eligibility regarding international applicants; please check with Uber’s recruitment policies.