Data Scientist applicants have rated the interview process at Uber with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 41% positive. To compare, the company-average is 49.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 32 days to get hired, when considering 138 user submitted interviews for this role. To compare, the hiring process at Uber overall takes an average of 24 days.
Common stages of the interview process at Uber as a Data Scientist according to 138 Glassdoor interviews include:
Phone interview: 36%
One on one interview: 22%
Presentation: 15%
Skills test: 12%
Group panel interview: 7%
Other: 2%
Personality test: 2%
IQ intelligence test: 1%
Background check: 1%
Drug test: 1%
Here are the most commonly searched roles for interview reports -
From phone screen to onsite, including many rounds, and covers every single aspect of Data Science, including statistics, experimentation, ML, coding, SQL, Behavior questions, bar raisers and etc. The whole process can assess candidates very thoroughly.
First there was a Test, which had 17 questions, 2 SQL(medium level) and 15 aptitude questions, for 60 mins, the 15 questions were pretty easy, it can be done in max 30 mins, i took time for SQL, but couldnt fully solve it, hope it goes well and get selected for interview
Interview questions [1]
Question 1
It was mostly Aptitude and some ML stuff with basic SQL
For round 1 of risk was asked 1 sql which i completed and then on confusion matrix which i answered but when asked the risks of fraud by consumer they were not impressed by my answer
Interview questions [1]
Question 1
For round 1 of risk was asked 1 sql which i completed and then on confusion matrix which i answered but when asked the risks of fraud by consumer they were not impressed by my answer
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