1st round - Online test (coding + MCQs on data science) 2nd round - Technical interview. Questions related to your past work and projects. 3rd round - Technical interview. Questions on common ML algorithms, parameters, bias-variance, metrics, quant problems, statistics, probability etc.
How would you feel working at a fast-paced environment where decisions can change quickly?
how do you handle with a difficult stakeholder
1) How do you do cross-validation for a time series dataset? 2) What are the challenges compared to the usual k fold cross-validation?
Second is Technical HR: First question was about Filter the numbers in the list by exactly 2 digits and store it in a separate list. Second was prime numbers Projects which ive completed in data science python, works i have done in my previous organization. challenges ive faced in previous organization
What is your experience in this role?
What's the database you used at your last job?
How many Facebook birthday wishes per day in Israel?
what is the distance between bangkok and london?
Why do you want to work for Starbucks?
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