Sr Data Scientist Interview Questions

3,383 sr data scientist interview questions shared by candidates

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?
Nov 4, 2014

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?

1. Case studies related to the main skills they looking for as job descriptions. 2. If you have really done the work mentioned on your resume just dive in-depth into it. 3. Be confident, a professional look are important
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Senior Consultant Data Scientist

Interviewed at EY

3.7
Jun 23, 2021

1. Case studies related to the main skills they looking for as job descriptions. 2. If you have really done the work mentioned on your resume just dive in-depth into it. 3. Be confident, a professional look are important

1. Explain Matrix Factorization for the recommendation system. 2. Case study based question. 2. Explain generative adversarial networks. 3. Loss function of GAN 4. Coding question, solve n stairs problem. every time we can take step 1 ot step 2. print max possibles ways. use either dynamic or recursive approach.
avatar

Senior Data Scientist

Interviewed at EY

3.7
Oct 13, 2021

1. Explain Matrix Factorization for the recommendation system. 2. Case study based question. 2. Explain generative adversarial networks. 3. Loss function of GAN 4. Coding question, solve n stairs problem. every time we can take step 1 ot step 2. print max possibles ways. use either dynamic or recursive approach.

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