Fragen im Vorstellungsgespräch zu Beschäftigung als Data Scientist bei McKinsey & Company

J'ai deposé ma candidature sur le site, apres j ai reçu un mail de la part de RH pour me convoquer a passer un test de connaissance online. Apres j ai reçu un mail de RH pour effectuer un entretien telephonique d'environ 30min

online assessment, many many many many rounds of case interviews. there will be trainings and buddys (current McK employees) for cases. very good experience!! although everything's virtual, it was super professional. good good good good

two interviews for first rounds. PEI+TEI PEI+Business Case Interviewers will keep interrupting you and ask for more details in your experience. The case is a typical Interviewer lead case. Interviewers were kind and very candid. Before this round, you need to pass the quanhub, which are R, Python, Stat questions. They will have a coach session before first round interviews.

Quick interview process. There are a few steps: 1) HR interview (30 mins) 2) technical interview (30 mins) 4) Case study (depends on the position level) They guide you through the interview process and very nice to you.

Online OA. 75 minutes with 37 questions on R, Python and Statistics. Time is very tough and could not finish the questions. R and Python questions range from easy to difficult levels and are centered around basic data ETL, data analysis and some machine learning.

Screening phone call. Programming online test for Python, R, Data Wrangling and Statistics. IQ ecosystem videogame where you have to select multiple species to build up and balanced ecosystem. Next up was a round of technical interviews that I did not reach.

phone interview for 30mins. Reached out a day before in the evening the phone interview. I don't have too much time to prepare. But the hiring manager is very nice with passion to ask questions.

Extremely poor interview experience. Did not at all reflect the standards I've heard McKinsey stands for. There were two interviews (personal experience + technical experience), and (personal experience + case study). Issue #1: Non engaged buddy My buddy assigned to me by McKinsey was totally disengaged, and couldn't care less about 'mentoring' me. Did not practice a single case with the candidate even though that was one of his responsibilities. Issue #2: Poor Decorum & Professionalism Interviewer #1 was in a t-shirt in bed, while interviewing me. Interview #2 giggled/laughed during the first 15 mins of the interview - very unprofessional for a consulting interview. This put me in an uncomfortable headspace. Issue #3: No friendliness & Empathy Interviewer #1 barely smiled during the interview, and read through script mechanically like a judge reading out a sentence. Absolutely no human warmth and empathy. Interviewer #2 created a hostile environment during the interview, by making unsolicited and unconstructive comments about my experience. (e.g. "You don't need to mention that... It is obvious...") The cherry on the cake was that even after writing a lengthy email detailing my experience + constructive suggestions for improvement, it took me two follow ups to finally get a response. And even then, during the ensuing phone call, the recruiter presumptuously declared that McKinsey does not do re-interviews; asking me to re-apply in a year. To offer a balanced perspective, a few positive things would be that: - My interviewer called me up to share that I didn't make it, and offered feedback ( which is better than a cold-rejection email). This was a welcome gesture. - McKinsey provided a webinar on how to address the case portion of the interview. Helping candidates prepare is always a good idea. Overall, I would rank this among the bottom 5% of worst interviews I've had, no where close to the "vaunted McKinsey" that everyone speaks about. The marketing hype is nowhere close to ground reality, based on the interview. In the final analysis, while McKinsey may be a top tier strategy consulting firm, I'm not sure whether that translates into data science. It is a little During our phone conversation, perhaps the one insightful thing my buddy revealed was that "he has mainly been doing linear regression for the past two years". Given this, I'm not sure whether this is an appropriate place for a fresh out of school data scientist to build his/her career. Moral of the story: don't pick jobs based on company prestige. The marketing hype often does not align with the ground reality.

20 min behavior question, 40 min case study, and 40 min technical discussion. 2 hours and without rest. The average difficulty and interviewers are friendly. 20 min behavior question, 40 min case study, and 40 min technical discussion. 2 hours and without rest. The average difficulty and interviewers are friendly.

The first round of the interview is a video recording and ask you to demonstrate your ability for this position. After that, you will be asked to take an online assessment with Python, R, and Statistics.