Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Deloitte overall takes an average of 27 days.
Common stages of the interview process at Deloitte as a Data Scientist according to 1 Glassdoor interviews include:
One on one interview: 100%
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A long sales phone call with the recruiter, followed by an on-site interview with three or four employees, including the hire manager, primarily discussing past projects. Not so much technical depth.
I applied online. The process took 6 months. I interviewed at Deloitte (Reading, England) in Jan 2019
Interview
I received a call shortly after applying online around October 2018, I got sent an email assessment relating to machine learning in December 2018. Once I passes this stage, I was invited for face-to-face interview in January 2019. It was in two sessions, one session was about technical skills regarding machine learning concepts. The second session proceeded to ask about more technical things like databases and personality type questions.
I was told that I will get a feedback in three days time. I didn't get any feedback for over a month. I kept calling and trying to get an outcome. After about 2 months of constant calling, the contact person in HR said, they are likely going with someone else. I never got an official response from Deloitte till date.
I don't think that is professional considering the time and travel expenses put into the interview, getting a feedback and on time would have been the right thing to do.
Interview questions [1]
Question 1
What's the difference between random forest and extra tree classifier?
What database tables would you create if you sold products on a site like amazon?
One hour long interview with a partner going over past experience and projects. Some basic ML and data science questions but did not include a whiteboard test. Also involved a basic screen on some basic skills.
Interview questions [1]
Question 1
What is the purpose of standardizing data within a pipeline?