Data Scientist applicants have rated the interview process at IBM with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 71.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 37 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at IBM overall takes an average of 40 days.
Common stages of the interview process at IBM as a Data Scientist according to 4 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at IBM (New York, NY) in Mar 2017
Interview
It was the first level and they sent me the link to Hirevue. You have to record your answer. I personally not comfortable with it but it is not that bad that I thought at the very first.
I applied online. The process took 1 day. I interviewed at IBM (Atlanta, GA) in Apr 2017
Interview
Q & A with an automated system. Half of the questions 16 in total, required a camera. The others were typed. You are given a question and then given about 2-4 minutes to prepare your answer. The allowed response time varied between questions. None of the questions were particularly difficult or convoluted.
Interview questions [1]
Question 1
What is the difference between L1 and L2 regularization?
I applied online. I interviewed at IBM (San Francisco, CA) in Jun 2016
Interview
I had 2 phone interviews and 1 aptitude test which is the IPAT. In the first interview the questions were mostly about machine learning, different algorithms and some in depth questions into it. In the second interview I was interviewed on Spark, big data stack like Hadoop etc, some Java questions.
Interview questions [1]
Question 1
I was asked to explain one of my machine learning projects from a big data point of view as in the speed variations in spark vs hadoop etc