A data scientist interview typically includes technical questions assessing programming skills, statistical knowledge, and data analysis techniques. Candidates may be asked to solve data problems, explain their approach, and discuss their experience with machine learning algorithms, data visualization, and extracting insights from large datasets.
Questions d'entretien [1]
Question 1
Databases scientist machine learning math logical analytics
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Trell en août 2020
Entretien
HR has contacted over phone and set up the interview schedule.
There were total 4 rounds of Interviews.
1st Round: Machine Learning Basics, Deep into projects and work experience from Resume.
2nd Round (Assignment): It was a 4-hour live on-the-call SQL Assignment round. There were 7 SQL questions given and all of them should be answered and explained to the interviewer in time.
3rd Round (Assignment): It was a 4-hour live on-the-call Data Science Assignment Round. Dataset was provided and should build the complete pipeline from preprocessing to model prediction and should explain the whole pipeline to the interviewer.
4th Round (Managerial Round): Asked about the projects from resume and 3-4 simple logical coding questions to be explained.
All went well but did not hear from HR even after several tries to get feedback. At least a positive or a negative feedback should be given.
Questions d'entretien [2]
Question 1
Q: Find the subset from a list whose difference between the maximum and the minimum element in the minimum.
