J'ai postulé en ligne. Le processus a pris 3 mois. J'ai passé un entretien chez Wayfair en févr. 2022
Entretien
1. OA with moderate questions. - Leetcode, SQL and ML models. If you know your stuff it will be easy
2. Technical interview - 1 month after the OA. Mostly case study. A real world and a practical problem that Wayfair faces. Walk through the process of whole data science project lifecycle
3. Final interview - Behavioural + case study - Similar to the 2nd round
Questions d'entretien [1]
Question 1
1. At wayfair they need to optimize the website search based on relevant results and products. Your task is to come with a good search algorithm.
hackerrank pretty easy + behavioral /case study. not too hard but can definitely trip you up. waiting for offer call now, hopefully it’s going to happen. Didn’t do as well on case in R1 but still got advanced.
The interview process consisted of a technical interview with a case/behavioral interview as well. Need to know general Python/SQL and have some basic business acumen. Interviews are relatively simple and not too intense.
Questions d'entretien [1]
Question 1
Tell me about a time that you solved a complex task
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Wayfair (Boston, MA)
Entretien
Coding round followed by interview focussing on classification problems. Pros and cons of architectures discussed. Evaluation metrics discussed. Overall it was a good experience. Discussion went in depth on neural networks