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The process is long, and the goal is that you end up failing not succeeding.The hiring team is shady whether all of them or just recruiter and few interviewers, I can't know.
here is the complete guide with all the questions (HR screen, Homework, Tech Screen, Onsite), Some rice would be great :)
I invested very large amount of time and honestly, now I would suggest that no single candidates does the same huge mistake. Also, you can even notice from recruiters behaviour if they actually intend to hire you or not: if your emails get constantly lost (recruiter didn't receive homework, he has covid, he was sick, he forgot about preparing you for the interview, he is out of the office, you get the idea).
Don't let them harass you such that after doing HR screen, Homework assignment (8h time investment investment) + Tech Screen (preparation +1h) + Onsites (6.5h + preparations) with at the end an email of rejection over voicemail. After the onsite, they also have team matching which atm makes many many people wait inthe que for last 3 months with no final job.
Don't do it, I think they just have time over on their hand and they just waste candidates time. I did really good on homework, tech screen, ML, Resume, Coding, I did well on Math/Stats I didn't do well on the Recommender Building parts Got "unfortunately we can't offer you .." over voicemail
But for the ones who do have time and want to try,
Experience:
- Some of my interviewers were very nice and knowledgable but some of them were very "arrogant" I had a guy Senior DS from Stats who was asking me question about Linear Regressions assumptions for Residuals while (the assumptions in OLS are about error terms). I felt like he was literally trying to find holes in my correct answers (very basic LR stuff). My Stat interviewer didn't knew that residuals are not the same as error terms and that there are 5 OLS assumtions universally known (he wanted more than Random Sample, Linearity, Exogeneity, Homoskedasticity, no Multicolinearity, Error terms follow normal distribution).
PROCESS and ALL Questions
- Step 1: HR screen: some usual questions about your interest and experience (my recruiter literally told me that there are multiple open jobs and we will find a place for you, you don't need to be perfect at everything, but many interviews are way for us to pick the right team for you. Don't fall for this jam, this is not true).
- Step 2: Homework assignment on predicting salaries, you get data and you should use common Regression Models, use K-fold CV and obtain RMSE compare models etc (min 8h investment, some of inexperience folks will need even more)
- Step 3: Tech Screen: 3 questions
Q1: Puppy problem: two litters (later 1 with 2 brown and 2 grey puppys, litter 2 with 3 brown and 2 grey puppies)
- What's the probability you get brown puppy
- If you were given a brown puppy, what is the probability it came from litter 1
Q2: (List1,List2) -
recommend 5 queries: users who search for this also searched for the other 5. (interviewer here introduced himself and was not even interested in my introduction, was very arrogant US guy, spent about 20min for intros, 10min on trying to make Python work) was left with no time to finish the task
Interview 6: Close up: you give feedback to the HM (this is obviously the situation of: every word you say will be used against you :) ) they are not really interested in improving their work
Step 5: Team Matching after Offer/ Interview with HM to find a team |
匿名用户-ESKMZ
2022-10-28 04:58:28
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