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%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Deloitte (Seoul)
Interview
My university senior came the the interview , suggeting me to go to graduate school to apply for job..
He told me studying at graduate school with the major of statistics will broaden my perspective.
I applied through college or university. I interviewed at Deloitte (Washington, DC) in Nov 2016
Interview
I applied through campus recruiting and got call in 1 week. First round was on-campus and it was behavioural with few questions on machine learning techniques. Next was onsite where there were total 4 rounds. The rounds were 1. With panel- to see candidates participation in meetings, 2. Manager - to see core machine learning algorithmic knowledge, mathematical solving on paper, business domain knowledge to tackle problems from scratch, projects on the resume (technical, whiteboard and business both), 3. Senior Manager - Technical and behavioural questions from the resume with everything done till date, 4. With Partner/Client - Behavioural. The Manager round didn't go well while other rounds were pretty nice. There was no offer at the end.
Interview questions [1]
Question 1
How would you solve a problem for a client who wants to compete with the best cab company? Twitter analytics question involving NLP? Bayesian solving? Favourite ML algorithm with deriving the maths on the whiteboard.
I applied online. The process took 2 weeks. I interviewed at Deloitte (Toronto, ON) in Nov 2016
Interview
The first interview was Skype interview as I don't live in Toronto; it was supposed to be an on-site interview. It went almost one hour related to behavioural questions(40%) and some technical questions (60%) about data mining, machine learning algorithms, hands-on project experience in the past, etc. It was reasonable, but I didn't get in the next step.
Interview questions [2]
Question 1
behavioural questions: what would you say if one of your friends want to quit his/her job?..
technical questions: cross-validation (leave one out), random forest, bagging decision tree, boosting, etc