Question regarding RAG pipeline, Agent framework, DSA and system design
Lead Data Scientist Interview Questions
352 lead data scientist interview questions shared by candidates
Classical ML - what is homoscedasticity? What is regularization Difference between Standardization and Normalization Linear regression and any 5 evaluation metrics Machine Learning pipeline
Github: Difference between Merge and Rebase
Python: what is context manager? What are decorators?
Lots of SQL work and light python work. No major questions about machine learning. I think that that's where they want to be soon, but they're just not there yet.
Pricing and Market entry questions.
Describe a good impactful project
Have you deployed models on cloud
Two first-round technical data science interviews for two different roles within CVS Health. Both interviewers were very nice to speak with; however, their approach—and consequently, my impression—was completely different. 1. SQL Interview (should have been easy, right?) – Terrible experience! Three or four well-defined tasks were given. However, the partially written SQL queries and the lack of direction on whether I was required to modify the existing code or implement my own solution left me scrambling to debug the poorly written queries before even proceeding, as the original queries failed to run from the start. Oh, and the interviewer simply dropped the code into CoderPad, went on mute, and seemingly did other things, making it impossible to ask questions. 2. Python Interview – Excellent experience with the interviewer(kind & professional). The question was moderately challenging (LeetCode medium or a simplified hard), and although I wasn’t able to fully complete the solution in time, I was given a helpful hint along the way.
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