SQL round and then 5 hr final round The final round is the combination of past experience, machine learning knowledge, leadership principles and coding interview Be ready to solve leetcode (software engineering) python question even though you are interviewing for a data scientist role
Interview questions [1]
Question 1
Many questions regarding xgboost, random forest and lightGBM Many questions regarding Leadership Principles that you can look up online
There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.
First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical
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