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 -
Two round of Technical interview followed by HR round. The first round is on data science and ML technical concepts and implementation in previous projects. Overall a very good and interactive interview.
Interview questions [1]
Question 1
Use cases of ML models used in previous experience. Hyperparameter tuning and metric used to measure accuracy.
it's a hackerrank assessment consisting of one python and one SQL question, they then asked me to do an online video assessment where they will ask me behavioral questions and such.
Interview questions [1]
Question 1
just some simple SQL querying and Python string manipulation
Initial case study is given to assess if you are a good fit for future interview. The case study is of average level difficulty. The time given to complete it is 2 hours.