Data Science applicants have rated the interview process at IBM with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 63.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 1 day to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at IBM overall takes an average of 31 days.
Common stages of the interview process at IBM as a Data Science according to 2 Glassdoor interviews include:
Group panel interview: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
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
I applied online. The process took 2 weeks. I interviewed at IBM (Dallas, TX) in Feb 2021
Interview
First round interview was a link sent to my email. I clicked on the link and “started” the interview. It was just a computer displaying questions and a timer. After 10 seconds, had to look into the camera and answer. Super robotic and no human feel.