Data Scientist applicants have rated the interview process at IBM with 2.5 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 63.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 1 day to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at IBM overall takes an average of 31 days.
Common stages of the interview process at IBM as a Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 50%
Group panel interview: 50%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. I interviewed at IBM
Interview
3 sessions - 1 HR phone screen. 2 in-depth technical
the first technical interview was 2 hours, focused on data science
the 2nd technical interview was 1 hour mostly focused on business case and consulting skills
Interview questions [1]
Question 1
mostly focused on resume and past experience
the position was data science consulting, so there were some business questions involved.
some statistics
I got a code assessment to do on hackerank which i wasnt familiar with and got stuck on how to access the data. wish it was just as if you were reading a file instead of all the input stuff
I applied in-person. I interviewed at IBM (Sasarām) in Sep 2020
Interview
Starting with basic concepts of data science important topics of machine learning , nlp and basic deep learning questions, topics like loss function , optimizer are quite often asked, basic machine learning algorithms can be considered more handy .
Interview questions [1]
Question 1
What do you understand about stochastic gradient descent?