Describe how k-nearest neighbors works.
Sr Data Scientist Interview Questions
3,509 sr data scientist interview questions shared by candidates
Q: Say we have a new self-driving vehicle on the road. How would you assess if it's working?
Questions were mostly focused on personality.
HR interview was easy but second interview with manager was mainly about previous experiences and highly difficult. So, studying on or remembering the projects would be really helpful. I wasn't remembering any single detail that's why it didn't go really well. Deep questions like dataset size and balanced/ imbalanced data, resulting training and testing accurancy, theoretical machine learning algorithms are asked. The manager was really professional and expert on data science though.
how does GBM work? difference between Boosting and bagging. also questions on LSTM's.
asked me about the various accuracy metrics in detail
Given this UX flow from lead to sign-up for a monthly subscription, how would you aid product managers in testing improvements to the flow to increase subscriptions?
What methods would you use to detect seasonal effects in time series? Tell us about an interesting machine learning project.
explain past projects
Knowledge of relevant business areas
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