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:
One on one interview: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
I am fresher for me it was medium level interview. The technical team asked questions from out of syllabus. They asked me about java which I am not used in data science.
In some cases, there may be a final interview with higher-level executives or managers. This interview may focus on your overall fit within the company, alignment with the organization's goals, and your long-term career aspirations.
Interview questions [1]
Question 1
What programming languages are you proficient in? Can you provide an example of a project where you applied these skills?
How do you handle large datasets in a computing environment (e.g., Python, R)?
Have you used any specific tools or frameworks for data analysis or machine learnin
What is inheritance and abstraction, how do you rate python, what is different between python 2.0 and python 3.0. What is inheritance and abstraction, how do you rate python, what is different between python 2.0 and python 3.0
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