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Senior Data Scientist Interview Questions
3,395 senior data scientist interview questions shared by candidates
Give a few recent examples of recent completed projects you proud about, explain challenges and how you dealt with them.
which algorithms do you know for classification?
how do you decide which algorithm to use?
when was the last project you used supervised learning and to describe it
Questions during interview: 1- Say you do on-line ads for two different companies, EasyJet and Mercedes. How would you present your results to the board and prove them you did not waste any money? 2- Another question that involves some economic thinking about why profits go down etc. in the on-line ad business. I recommend you review concepts such as Click-Through Rate, Conversion Rate and the auction mechanisms in on-line marketing etc. 3- After Facebook users pass away, their profile pages remain. So today we have some dead users and some users that are still alive. Will the number of dead people ever equal that of the ones that are alive? When will that happen? How would you calculate it?
search optimization, functional programming, NLP
Signed NDA
Build time series prediction model
Stats: 1. Fundamental laws 1.1. Explain Central Limit Theorem (CLT)? 1.2. Explain Law of Large Number (LLN)? 1.3. What are their differences? How are they beneficial? 2. Statistical Tests 2.1. Tell me the differences/conditions between T-Test vs Z-Test are? When is each of them used? 2.2. When is t-distribution used as opposed to normal distribution? 2.3. How many data points are considered good enough to use each of them? 2.4. How does each distribution look like? (skewness and kurtosis viewpoint) 2.5. Explain p-value in a layman language with a simple example. 2.6. If we run the t-test multiple times, what will happen to the strength of the statistical test? (Bonferroni Correction) 2.7. When is the Chi-Squared test used? How does the distribution look like?
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