Data Scientist applicants have rated the interview process at DeepTek Medical Imaging with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 91.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 11 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at DeepTek Medical Imaging overall takes an average of 12 days.
Common stages of the interview process at DeepTek Medical Imaging as a Data Scientist according to 3 Glassdoor interviews include:
One on one interview: 33%
Skills test: 33%
Group panel interview: 17%
Presentation: 17%
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The process took 2 weeks. I interviewed at DeepTek Medical Imaging (Pune) in Feb 2022
Interview
Applied via linkedin. Was shortlisted for a coding round post which I had a technical round which consisted of on the spot coding and technical questions related to machine learning and deep learning. Coding round had questions based on data structures in which all test cases need to passed in order for the solution to be correct.
Interview questions [1]
Question 1
Coding question involved of cyclic rotation of an array and giving the final array after performing the cyclic rotation. Machine learning questions were based on what is a good metric to evaluate classifications problems. Then there was a question based on computer vision on what data augmentation techniques can be applied to increase the size of a dataset.
I applied online. The process took 1 week. I interviewed at DeepTek Medical Imaging (Pune)
Interview
The interview process is quiet simple. They ask programming questions and some basic Deep learning questions. The interview panel is friendly also and they make sure that you are comfortable while giving interview.
Interview questions [1]
Question 1
1) Factorial question
2) How to tune the threshold
It's a 2 round interview process. The first round is about basic python programming questions and some basic data science questions. The next round is about cultural fit.
Questions like fibonnaic series or k and m given and do some rotations