Data Science applicants have rated the interview process at Microsoft with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 70.8% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Microsoft as a Data Science according to 2 Glassdoor interviews include:
Skills test: 100%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 8 weeks. I interviewed at Microsoft (Boston, MA) in Dec 2019
Interview
30 min phone interview + onsite 45min *4. Get a phone interview through website (calculate simple math questions, I think acceptance is based on correctness and efficiency, this part is not hard), the phone interview asked about behavior questions. Onsite interview do not involve technical questions.
I applied through college or university. The process took 1 day. I interviewed at Microsoft (Roorkee) in Dec 2019
Interview
Three rounds, first based on resume and basics of machine learning, second and third based on competitive programming. The questions in the second and third rounds were mostly based on link list and trees.
Interview questions [2]
Question 1
Basic ml terms like bagging, boosting, linear regression
I applied through an employee referral. The process took 4 weeks. I interviewed at Microsoft
Interview
1 hour phone screen with general DS/ML questions followed with full day on site loop. 5 1 hour interviews in total. I didn't really know what to expect going in and got a pretty wide range of questions. Topics involved data structures & algos, experimentation, dealing with dirty data, & lots of statistics/machine learning questions. Overall everyone was really friendly sharp & smart. I also had a few curveball questions thrown my way where the interviewer was trying to see if they could catch me off guard.
Interview questions [2]
Question 1
Explain the difference between type 1 and type 2 error.