Data Scientist Intern applicants have rated the interview process at Spotify with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 63% positive. To compare, the company-average is 47.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist Intern roles take an average of 13 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at Spotify overall takes an average of 39 days.
Common stages of the interview process at Spotify as a Data Scientist Intern according to 8 Glassdoor interviews include:
Phone interview: 29%
One on one interview: 19%
Skills test: 14%
Group panel interview: 10%
Personality test: 10%
IQ intelligence test: 5%
Other: 5%
Drug test: 5%
Presentation: 5%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 weeks. I interviewed at Spotify (New York, NY) in May 2022
Interview
2 rounds total, first round technical, some basic SQL and Python, second round behavioral. SQL questions weren't too hard, struggled with the last one but had good logical approach, which interviewer seemed to appreciate, just had trouble with code syntax.
Second round was very casual behavioral, getting to know more about your projects and interests. Overall, one of the least stressful interview processes so far!
Had an online phone screening with the interviewer but was experiencing a lot of technical difficulties over the phone. She went over the program and then asked a few questions.
The process was described as phone screening then 2 more interviews: technical and then, behavioral. I had not passed the phone screening which I thought went pretty well despite the technical difficulties (Had to move the call onto Teams)
Two interviews, one with engineers about technical stuff, one with manager about general skills. They were friendly, especially the manager. Technical interview included questions about ML and data science, plus some coding challenges.