Screening interview consists of SQL and product sense or analytics questions. SQL was needlessly difficult. They had a bunch of seemingly related questions that are, I believe ordered by difficulty level. Interview skipped first of couple of questions and went to one of the middle questions. After answering she moved to another question which were supposed to be an add on to the one I just answered but really was not. In the end it seemed like I was just put thru a SQL wringer just being asked follow up questions that were in themselves full questions that required a good amount of time to solve. It just seemed they wanted it to be difficult just to be difficult. It was a bit exhausting.
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
J'ai postulé en ligne. J'ai passé un entretien chez Uber (San Jose, CA) en mai 2026
Entretien
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
Questions d'entretien [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.
Questions d'entrevue Data Scientist chez Uber | Glassdoor