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Data Scientist Interview Questions

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Data Scientist Interview Questions

Lors d’un entretien pour le poste de data scientist, les employeurs vont poser des questions leur permettant d’évaluer vos compétences en modélisation des données, résolution des problèmes et programmation. Soyez préparé à répondre à des questions générales testant vos connaissances en statistiques et en science des données. Vous devez également être prêt à répondre à des questions ouvertes permettant de tester votre créativité, vos compétences en communication et votre éducation formelle en modélisation des données et en programmation.

Questions d'entretien d'embauche fréquentes pour un data scientist (H/F) et comment y répondre

Question 1

Question 1 : Quelles techniques de modélisation des données préférez-vous et pourquoi ?

How to answer
Comment répondre : La transformation des données en informations compréhensibles et exploitables est un élément critique du métier de data scientist. Cette question permet aux employeurs de comprendre vos compétences en modélisation des données et votre cursus. Répertoriez et détaillez les techniques de modélisation des données que vous préférez, notamment leurs avantages comme leur facilité d’utilisation, leur flexibilité, etc.
Question 2

Question 2 : Comment détectez-vous les faux comptes Instagram utilisés pour escroquer les clients ?

How to answer
Comment répondre : Ce type de question permet à un employeur de tester vos compétences en résolution des problèmes. Lorsque vous répondez à des questions ouvertes comme celle-ci, n’hésitez pas à demander des précisions sur ces dernières et à utiliser un tableau pour présenter vos compétences en programmation et création de graphiques. Partagez votre processus de réflexion lorsque vous résolvez le problème.
Question 3

Question 3 : Décrivez des situations qui requièrent une liste, un uplet ou un ensemble sur Python.

How to answer
Comment répondre : Les intervieweurs posent ce type de question pour tester vos compétences en programmation sur Python. Révisez les rudiments de Python comme les listes, les uplets et les ensembles avant votre entretien. Vous devez être en mesure d’expliquer à quel moment et de quelle manière chaque outil est utilisé par les data scientists.

54,222 data scientist interview questions shared by candidates

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.6★
Mar 6, 2019

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?

PLEASE DON'T TAKE THE PHONE SCREENING LIGHTLY! I did and got rejected. I was expecting SQL questions and in general talk about my resume but she asked me a question on product sense and I was completely unprepared for it. Creation of Facebook user groups has gone down by 20%, what will you do? sounds simple but I messed it up so badly. I was just blabbering anything in an unstructured way, I sounded so stupid and not even fit for a small company forget Facebook. The recruiter was nice and she did not say anything but I were to hear my own answer, I would reject myself on spot. I regret it so much wish I could have prepared for it. I hope someone sees this and it helps them. The SQL questions were easy and I did answer them correctly- what kind of joins to get only common rows, what the natural sorting order etc.
avatar

Data Scientist

Interviewed at Meta

3.6★
Mar 9, 2020

PLEASE DON'T TAKE THE PHONE SCREENING LIGHTLY! I did and got rejected. I was expecting SQL questions and in general talk about my resume but she asked me a question on product sense and I was completely unprepared for it. Creation of Facebook user groups has gone down by 20%, what will you do? sounds simple but I messed it up so badly. I was just blabbering anything in an unstructured way, I sounded so stupid and not even fit for a small company forget Facebook. The recruiter was nice and she did not say anything but I were to hear my own answer, I would reject myself on spot. I regret it so much wish I could have prepared for it. I hope someone sees this and it helps them. The SQL questions were easy and I did answer them correctly- what kind of joins to get only common rows, what the natural sorting order etc.

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