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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I applied through an employee referral. I interviewed at Deloitte (Bengaluru)
Interview
There were 4 rounds of interview. The first one was all technical where they asked questions about git, ML, python and Devops. Then with the Team lead which is an extension of the previous technical round. Then with the manager where they understand you and your working type. Then the senior manager checks your communication skills and approach to a problem.
Interview questions [1]
Question 1
How do you merge a code to git? What is the difference between correlation and causation?
I applied through an employee referral. The process took 1 day. I interviewed at Deloitte (Rockville, MD)
Interview
Interview did not take longer than 30 minutes and the process was very stress-free. To my surprise, I had applied for a Data Analyst position, but the interview was for a Data Scientist position. Unfortunately, they did not accept me due to their high-prioritization of inhouse promotion. Not sure why the company was posting jobs if they were planning on hiring from within in the first place.
I applied through a recruiter. I interviewed at Deloitte in Aug 2022
Interview
I was initially contacted by a recruiter (a Deloitte recruiter, not an independent "headhunter"), and was quickly handed off to a hiring manager. This person was initially very responsive, informative, and accommodating. The interview was scheduled and structured fairly well. The unusual thing was that it was three separate short interviews (one technical, one with someone in the same technical area but more general, and one with a manager-level person), that were scheduled on different days. Each of these was on time, both start and end, and lasted only 30 minutes each. All three of the interviews felt much more like friendly conversations than adversarial interviews, which was much appreciated. I was most nervous about the technical interview, but it seemed designed to elicit what I thought my strengths were, rather than prodding with performance-type questions. Additionally, there was a "soft" timed data analysis and visualization exercise, which I thought was reasonably well-designed, and again was open-ended enough to provide opportunities for a candidate to demonstrate ability without going too hard into specific tasks, methodologies, or technologies. The only negative part of my experience (besides not getting the job) was being semi-ghosted for months afterwards by the hiring manager. I would follow up every couple of weeks, and they'd keep insisting that they wanted to hire me and were just looking for the right place to put me (it's a very large organization), but in the end I got an automated message over five months(!) after my interviews that indicated I had not been selected for the position. So in short, the interview process was very smooth and I felt very good, but the post-interview process was not great.
Interview questions [1]
Question 1
In the technical interview, I was asked about the types of modeling I was comfortable with, and they asked for an example of how I had used it in the past.