They asked me what did I solve/fix with a project outcome. And they presented a Python code and asked me to find 8 mistakes in the code.
Senior Data Scientist Interview Questions
3,391 senior data scientist interview questions shared by candidates
Questions like - what distance metrics to use when clustering with categorical data.
How to deal with overfitting in training a model?
Behavioural: tell me about a time you made a mistake at work Coding: simple tasks on live coding on data manipulation System design: how would you build a data product that did X Recap the challenge: why this model and present your results
Why do you want to work for Verizon?
1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Share one project you did with details from high level to low level.
Describe why would we use something like PCA.
How would you handle missing values?
# 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?
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