Describe how a gradient boosting model worked
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
# Why do you want to switch? # Where do you see yourself in 5 yrs? # What is data science from your point of view? # How do you approach a data analysis debug problem , give specific examples # How big was your data set ? How big is the data set to be considered is large data set? # Explain a DOE that you designed and ran # What lithography development project you worked on explain # What happens if dose and focus changes. # What happens if focus is increases or decreased, what happens if the resist is changed from positive to negative? # If there issue for printing in litho step, can etch fix it and vice versa # What is annular/quadrapole , what do they improve in litho printing? # What is Depth of focus? # How off axis printing is helpful? # How is grating features helpful in litho printing? # How to do you ensure that a vulnerable features are printed properly?
what is random forest? why is naive bayes good?
write recursive functions
What are disadvantages of MAPE
Tell me about previous projects you've worked on?
touched almost all topics, including Python, NLP, LLM, Model architecture, ML Ops, Deployments (CI/CD).
Why Monzo, experiment design, collaboration experiences, etc.
• Questions about past projects on my resume; specific to the topic of interest (llm) • Case study for a hypothetical scenario and discussion on how would you implement llm, evaluate llm etc.
Describe an AI agent architecture.
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