J'ai postulé via un recruteur. Le processus a pris 3 jours. J'ai passé un entretien chez SKF en janv. 2021
Entretien
The interview process was great. Not too simple and not corp. bulshit like building an ML model with a pen and then selling it to them :)
Focused mostly on what you really have done and how you make your decisions.
Contained the following:
- Questions that are a good representation of what you'll have to do in your daily job, with some examples of why you asked it ;
- Small sanity check of programming and statistics skills(nothing too hard - if you know how to perform stat. tests properly, wrote a thing or two, and know what SOLID is - you already should be fine);
- Questions on decisions made based on projects listed in CV - which were the most important part I guess - was a pleasure to talk with smart people :)
Questions d'entretien [1]
Question 1
Using python create a function that'll return n-th Fibonacci Number given a number n.
Explain your decision on approach.
J'ai postulé via une agence de recrutement. Le processus a pris 2 semaines. J'ai passé un entretien chez SKF (Yoqne`am) en août 2021
Entretien
Scheduling was promt. Interview was interesting, discussed open question on ML topics, like trade off training/testing etc. Mostly got general questions on training models and also a coding part. Was interview by 2 another data scientists.
Questions d'entretien [1]
Question 1
You have a million data points, would you use the whole data to train the system?