Data Scientist applicants have rated the interview process at SAP with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 72% positive. To compare, the company-average is 70.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 25 days to get hired, when considering 18 user submitted interviews for this role. To compare, the hiring process at SAP overall takes an average of 28 days.
Common stages of the interview process at SAP as a Data Scientist according to 18 Glassdoor interviews include:
One on one interview: 29%
Phone interview: 21%
Presentation: 18%
Group panel interview: 14%
Skills test: 11%
Drug test: 7%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 week. I interviewed at SAP (Singapore) in Sep 2024
Interview
Highly competitive. Many rounds of application. Tests you on machine learning, deep learning and nlp stuff. If you dont prepare beforehand you will die. Better prepare and make sure you know your projects well enough.
Interview questions [1]
Question 1
What are the machine learning models that you know that can cluster time series
I applied through a recruiter. I interviewed at SAP
Interview
The recruiter called me and set the interview. I spent a lot of time to prepare for it, but then they cancelled it without a proper reason 15 minutes before the interview. Not really professional.
Interview questions [1]
Question 1
the recruiter asked behavioural questions like what did you do in times of setback. What was your approach to non-technical stakeholders.
I applied through a recruiter. I interviewed at SAP (Prague)
Interview
In general the interview process was smooth and the recruiter Sylvie was very good and informative on all the steps of this process. I wouldn't say the same about the people that did the technical interview as it was more difficult to communicate with them and have a proper conversation.
Dynamic programming question to be solved on a text editor explaining the logical reasoning for the answer. Afterwards further clarification questions. Also explanation of time and memory complexity. That is to explain the Big O complexity for time and memory.
Interview questions [1]
Question 1
Dynamic programming question to be solved on a text editor explaining the logical reasoning for the answer.