Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Uber nel mese di mag 2016
Colloquio
I applied online ,after a week I got a call from the HR. I was scheduled two telephonic interviews.
I was give a coding question on patients arriving to hospital as a Poisson distribution and doctor attending the patient as uniform distribution and write code to display the average wait time of the patient and total number of patients that are attended on a random day. The second interview was deep dive into Machine Learning, about PCA, equations on PCA, different features that could be given to a Uber driver to predict if the driver accepts the request or not. Multicollinearity, how to solve the problem. Time series forecasting techniques.
Domande di colloquio [1]
Domanda 1
What are different Time Series forecasting techniques?
Explain PCA with equations?
How to solve Multicollinearity?
What algorithm you would use to solve driver accepting a requesting?
Which supervised algorithm you would pick to solve the above problem?
How do you compare the results of the algorithm?
Coding question on patients arriving at hospital and doctor attending the patients
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.
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