Talk about one of your previous projects in MLOPS that went into production.
Senior Scientist Interview Questions
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SQL and Python pandas database transformation. Walk through a classification problem and caveats (how would you measure performance and feature importance)
Explain some of the experiences you've had with science related work.
Can linear regression predict negative values if they were no negative values in the training data
what is random forest? why is naive bayes good?
write recursive functions
A dataset challenge and interpreting a data visualization
Describe a technical project you worked on end-to-end.
[Techinical] - How would you handle imbalanced data sets? - How would you implement a model? [Product mindset] - How would you approach a problem if a company doesnt have any data for a specific product? - What would you do if you have conflicting ideas with a product manager?
Coding and behavioral which were quite easy
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