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 60% positive. To compare, the company-average is 71% 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 5 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 5 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
Quite well diverse quitionaire with All kinds of questions covering ML, DL, NLP, GenAI, LLM and openai tools along with frontend tools, server deployments like AWS server or Azure server, practice of FASTAPI framework.
Interview questions [1]
Question 1
All kinds of questions covering ML, DL, NLP, GenAI, LLM
first their is an assessment for entry if it will clear then HR round will happen , then technical round then final round. if the final round clear then salary discussion
I applied in-person. The process took 3 weeks. I interviewed at IBM (Poughkeepsie, NY) in Oct 2020
Interview
HR, coding, in-person interview with the whole team then ethical interview. it was easier as I met the manager in person during the event and then he got my resume directly instead of me applying and never hearing back
Interview questions [1]
Question 1
Mostly about the projects I worked on and couple technical questions on ML and SQL