Standard questions about how I tackle business and data problems etc. However, as a data scientist I noticed one potentially red flag: the company is new and fresh in their data science department (although they have a solid data engineering and reporting base), but they want to start straight with GenAI/LLM stuff (Chat-GPT and whatnot). For those unfamiliar: it is pretty much a guaranteed pitfall as people would be using super-complex tools with zero knowledge of their inner workings (think of learning to run before you can walk).
Science Interview Questions
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Do you want biscuit or cake
Have you taken this course before?
What do you know about the systems used by FD?
explain the reasoning in resolving the case
Difference between map & applymap
(Phone screen) How would you describe difference between ReLU and sigmoid functions?
Do I have any experience with tableau or other visualization software?
What are the assumptions when building a linear regression model?
What data do you think would improve the model that you made? Why?
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