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 -
You will be invited to do a test called cognify which has several games in it, the time given is quite limited so you shouldn't think too much about each question.
I applied online. I interviewed at IBM (New York, NY) in Feb 2020
Interview
Games based screening, then code tests in SQL, python. The SQL was a rank top 5 based on sub-query and the python was a market basket analysis. You could not import packages to make the MB simpler. Same was true for R (they let you choose the language).
Interview questions [1]
Question 1
Rank top 5 customers based on total purchase.
Create a market basket analysis of items on an invoice.
I applied through college or university. I interviewed at IBM (New York, NY)
Interview
2 round virtual interview due to COVID19. First round: part 1: talk to the lead of DS about your experience, best project you have even done. First round part2: technical interview including probability, machine learning and a 15min ish project
Interview questions [1]
Question 1
what is your favorite project you have ever completed?