Principal Data Scientist Interview Questions

Interview Questions

• Q1. Is it always important to apply ML algorithms to solve any statistical problem?

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• Q2. What is multivariate time series and how to model it ?

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• Q3. Do you know any Anomaly detection method that will work without Normality Assumptions?

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• Q4. Have you heard about Gaussian Mixture Model? Can you explain it with an proper industrial example?

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• Q5. What is more robust to outliers? Mean, median or mode ?

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• Q6. How to detect anomalies in Multivariate Time Series ?

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• Q7. Which one is more robust for Anomaly detection? Tukey's method of IQR or Z-Score method or GMM ?

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• Q8. What is the difference between Euclidean distance and Mahalanobis Distance?

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• Q9. What is Mahalanobis Distance? Can you illustrate it's assumptions ?

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• Q10. What all you know about Multivariate Analysis ?

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+6 interview questions

Interview Questions

• Q1. Some distribution based sampling.

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• Q2. Wrote the code.

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• Q3. Chess design

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• Q4. Case study

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Interview Questions

• Q1. How to tune the hyperparameter of svm?

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• Q2. What is decision tree

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