I applied through a recruiter. The process took 4 weeks. I interviewed at Uber (San Francisco, CA)
Interview
Had 1 phone interview with recruiter. Then 2 phone interview with data scientists(1 for technical machine learning concepts and the other one is more like open ended questions).
Then I went onsite with 5 rounds of interview.
1st round: interview with data scientist. Open ended questions. He gave me some business questions and asked me how to solve it.
2nd round: interview with the PM in another team. Some questions about insurance pricing.
3rd round: interview with the hiring manager. I have to say I feel very offended by the hiring manager. He kept working on the laptop and he didn't even look at the whiteboard. He asked me the same questions 3 times and I repeated my answer 3 times. Then I knew he was not listening to me at all. This round is mostly about the projects that I work on. What metrics to use to measure the health of the business.
4th round: interview with data scientist. This round is technical machine learning problems. How to derive the regression coefficient. Ask questions about prediction and random forest.
5th round: interview with data scientist. Coding exercise. Leetcode easy level questions.
My overall impression is that people in Uber are very busy and they are not very friendly(except for the recruiter). I really like Uber's data driven environment, but I don't like their work style.
Interview questions [1]
Question 1
Lots of business questions related to health of the market.
gave written test then got selected to 1 hr interview but not selected gave my solved solved all the problems due to immigration and visa got not selected.
But interview was pretty much good tested on sql, python, pandas, production ml models
I applied online. I interviewed at Uber (San Jose, CA) in May 2026
Interview
My interview started with a stats coding round where I was asked to code for expected value for a problem and the second interview was a case study which was quite easy
Interview questions [1]
Question 1
Expected value for a dice problem and a case study about a Uber problem
The process was smooth and well organized. A recruiter initially reached out, followed by a first round consisting of two interviews—one with the team manager and another with a data scientist, both engaging and informative.
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