I applied online. The process took 4 months. I interviewed at IBM in Jan 2018
Interview
You must go through the hirevue type process where you sit down in front of a screen and answer pre-recorded questions. I think there were 10-12 questions. The first half was behavioral. The second half was technical. If you are applying as a data scientist, you must brush up on your Python and statistics.
Interview questions [1]
Question 1
1) Define a confidence interval?
2) Explain the importance of a p-value?
3) What languages are you familiar with? (python, java, etc)
4) What's the difference between Supervised vs. Unsupervised machine learning?
5) What is precision? What is specificity? What is sensitivity/recall?
There are also two python challenges you will have to complete afterward. Each is about an hour long:
1) Given a subset of daily sales and sellers, find the subset that identifies those with the highest daily sales average.
2) I forget the second question, but it's very similar.
I applied online. The process took 4 months. I interviewed at IBM (Dublin, OH) in Aug 2015
Interview
In-person Interview came following three months of phone discussions and interviews with HR. Discussions with HR entailed answering generic questions on location preference, availability dates, salary expectations, etc... In person interview consisted of three 1-on-1 discussions with IBM employees. Each IBM employee was from a different discipline (ie. Sales vs Consulting vs Project Management). The questions were not "textbook" rated if you will, rather, the interviews were more of a "back-n-forth" discussion on how I would handle a given business scenario that could/would come about as an employee at IBM.
Interview questions [1]
Question 1
If you were part of the consulting team that was trying to onboard new clients to buy in on IBM's technology based product (e.g. Watson), how would you go about selling it to a client from (pick a country: E.g. India) that specializes in (pick an industry: E.g. Healthcare Marketing for Cancer research)?
I applied online. The process took 4 weeks. I interviewed at IBM in Nov 2016
Interview
Virtual screen, then round with Data Scientist, then group final round. Overall, relatively straightforward. Useful to study basics of statistics, and some example machine learning methods. Describe prior projects/datasets that you worked with.
Interview questions [1]
Question 1
Example: describe differences between supervised and unsupervised learning, with examples