Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 3 giorni. Ho sostenuto un colloquio presso Uber (San Francisco, CA) nel mese di ott 2017
Colloquio
There was a 30 minute phone screening which was a just to get to know each other. Afterwards I was given a Data Science Challenge Problem set, which was to be done on my own time, and there was no time limit set. In the end I worked for 2.5 days on problems. I sent in my responses on Friday evening at 3pm. On Monday morning at 9am I was summarily rejected without more explanation than the "fit" wasn't right, without any discussion of my performance on the challenge set.
Domande di colloquio [1]
Domanda 1
The challenge had 3 parts: SQL, Experiment Design, and Machine Learning.
In the SQL portion you had to write some queries to answer complicated real world questions (without any data given, just a schema).
In the experiment design portion you are asked to create a hypothetical plan to answer testing a new app.
In the Data Science portion, you are asked to perform binary classification on a given data set, and return insights from the classification.
Ho sostenuto un colloquio presso Uber (New York, NY)
Colloquio
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
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Uber (San Jose, CA) nel mese di mag 2026
Colloquio
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
Domande di colloquio [1]
Domanda 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.
Le migliori aziende per "stipendio e benefit" vicino a te
