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Sr Data Scientist Interview Questions
3,367 sr data scientist interview questions shared by candidates
Typical for more engineering focused Data Science. Lots of coding problems, a few ML and stats theory, a few applied ML questions, and some information retrieval and search questions.
Talk about your previous work.
Question on stratified sampling
Asked about my research and my interests. Explain type1 type2 error to a middle schooler. Explain p-value to non-statisticians.
Why ENTO? Why are you leaving your current job? Have you worked in rostering job? Explain about your work experience and what you learnt from it? How do you keep yourself up to date with technology?
You're working with an oil & gas client in which they have some model that assesses equipment function/maintenance diagnostics. Given the incoming stream data is sensor data, what model would you use to predict likelihood of failure and implicitly intervention to reduce failure occurring? Say you use, multi-variate regression what are the concerns/disadvantages of employing that model? What are the key performance metrics you should consider when modelling this phenomenon? How should the equipment vendor set prices for the client to use? There should certainly be demand elasticity but is that elasticity linear or non-linear?
How to assess the success of a classifier in the context of human layer security.
Think about how you would design a system that would be able to classify security threats. The question relates to one of the products being offered by Tessian.
How do you plan your work? Some easy algorithms for coding interviews.
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