Staff Data Scientist applicants have rated the interview process at Intuit with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 13% positive. To compare, the company-average is 57.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Staff Data Scientist roles take an average of 65 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at Intuit overall takes an average of 24 days.
Common stages of the interview process at Intuit as a Staff Data Scientist according to 8 Glassdoor interviews include:
Phone interview: 28%
One on one interview: 24%
Group panel interview: 16%
Presentation: 12%
Background check: 8%
Skills test: 8%
Drug test: 4%
Here are the most commonly searched roles for interview reports -
Main screening interview is with the hiring manager to go over experience and technical programming in both SQL and Python. Following that is ridiculous craft presentation which does take a lot of time Even though the HR would say 4 to 5 hours. The old side consists of a presentation to an interview panel and subsequent individual interviews. Weather forecast was mostly on ML theory, product sense. Was ghosted after the interview lol
Interview questions [1]
Question 1
Python string manipulation, basic data structures. SQL build KPIs from a sample data
Spoke to a recruiter for 10 minutes who then put me in touch with the hiring manager - Got a reject immediately after eventhough i had all the skillsets needed
Interview questions [1]
Question 1
Experience with Natural Language processing and survey data
I applied through a recruiter. I interviewed at Intuit
Interview
Interview process included recruiter, technical screening and onsite with take home case study followed by panel interview. After successfully completing the taxing interview process, the recruiter and team conversations were the most unprofessional experience I have ever had. Offered a lowball offer (for a level below) and lack of flexibility on start date even after clearly stating a family medical emergency
Interview questions [1]
Question 1
Standard SQL and python data manipulation questions, Product case study with A/B testing questions