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Data Scientists Interview Questions
54,345 data scientists interview questions shared by candidates
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Example question: What type of data storage was used by the data pipeline of your last project X, and why?
Coding: one leetcode medium around string, parenthesis, backtracking, etc. ML: different supervised algorithms, pros, cons, comparison. Advanced deep learning, time series models, differences between traditional ML. Latest architectures like BERT, etc.
shell command two write ngram Python recursive function to convert JSON file into dict R function to find Peaks
Range of questions walking one through a real-world scenario where ML would apply in Coursera.
How long have you been using python? What is the last ML model you've built and what did you learn?
How transformer works in NLP?
Second round questions are: what according to you is data science? -- Answer will be always subjective, Can't we do non-linearity model using logistic regression? Even if you transform variable and use it in model -- statisticians refer the transformed variable as feature and logit is linear to feature.
Build a predictive model for the data
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