Data Science 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 Science 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 Science according to 2 Glassdoor interviews include:
Phone interview: 50%
Group panel interview: 50%
Here are the most commonly searched roles for interview reports -
Interview 1: asked me difference between machine learning, AI, and deep learning
Interview 2: gave me a coding assignment in the form of Jupyter notebook. Did not screen record. Then I had to present my findings.
Next step: Got an offer.
Interview questions [1]
Question 1
asked me difference between machine learning, AI, and deep learning
Telephonic followed by interview- easy to crack - basic statistics questions and coding experience in Python, SAS, Stata, R. Puzzles and Guess estimates were also asked. 1 Hour telephonic and 2-3 Hours Interview
Techincal round followed by HR interview. Interviewwent over what was technically required for the job. HR interview discussed softskills and salary expectations, which were negotiable. Overall a good experience, in my opinion.