Screen phone call then in person. Screen phone call then in person. Screen phone call then in person. Screen phone call then in person. Screen phone call then in person. Screen phone call then in person
Regular phone screening, asked about salary expectation, work authorization, experiance level of the required tools in the job description. Overall good experiance and nice interviewer who is respectful and on time.
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Grainger
Entretien
Pleasant and smooth. 1 HR screening round. 1 hour highly technical telephonic round with the hiring manager. Then, on-site interview with team mates. The interview overall was very technical. They test you in your problem solving skills in data science and tons and tons of conceptual data science questions related to stats, probability, distributions, models, etc. It was more of an NLP focussed interview overall. I had very little experience with NLP so they adjusted the questions based on my skills. They check your GitHub profile. Having a strong profile makes the difference I guess.
Questions d'entretien [1]
Question 1
Convolution, Pooling, Object Detection algorithms, Python specific questions, Duplicate a Dataframe without actually copying the entries, activation functions, and other basic Data Science questions which you can answer if you have done some ML projects. A lot of other questions as well.