I applied through a recruiter. I interviewed at Intuit
Interview
There are three parts of the entire interview, including ML quick questions, SQL coding problem , technical coding (I selected to use Python). The interviewer is really professional and nice.
Interview questions [1]
Question 1
ML questions:
1. What is overfitting, and how to overcome overfitting?
2. What is regularization? example?
3. How to handle data imbalance.
4. How to save model? Which kind of data structure?
Data Scientist Intern (Ph D ) applicants have rated the interview process at Intuit with 3 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 57.8% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Intuit as a Data Scientist Intern (Ph D ) according to 1 Glassdoor interviews include:
One on one interview: 50%
Presentation: 50%
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