Data Scientist Interview Questions

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.

54,215 data scientist interview questions shared by candidates

Python and SQL challenges via HackerRank Including: - How many edges does a fully connected (or complete) graph have? Multiple choice - What is the fundamental difference between k-means clustering and KNN? Multiple choice - Which command would be used to ensure any local tracked changes are also shared amongst remote repositories? Multiple choice - Given 2 fair 6-sided dice and a fair coin, what is the probability of rolling a combined score of 7 with the dice and having the coin show heads after tossing? Multiple choice - Given data matrix X of shape n x d and transformation matrix sigma of shape d x k, which matrix multiplications will produce a transformed data matrix Xdash of shape n x k? Multiple choice - The sigmoid function is defined. What does its value tend to as its input x moves towards negative infinity? Multiple choice - SQL challenge of 2 tables with example answer, typed answer in SQL language of choice required - You are playing a card game with three cards. Both sides of one card are black, both sides of another are white, and the remaining card has one black side and one white side. You pick a card at random and see it has a black side face-up. What is the probability that the other side of the card is white? Multiple choice - 'Descending Mount Trigonometry' question - code your own answer
avatar

Data Scientist

Interviewed at NatWest Group

4
Jun 9, 2022

Python and SQL challenges via HackerRank Including: - How many edges does a fully connected (or complete) graph have? Multiple choice - What is the fundamental difference between k-means clustering and KNN? Multiple choice - Which command would be used to ensure any local tracked changes are also shared amongst remote repositories? Multiple choice - Given 2 fair 6-sided dice and a fair coin, what is the probability of rolling a combined score of 7 with the dice and having the coin show heads after tossing? Multiple choice - Given data matrix X of shape n x d and transformation matrix sigma of shape d x k, which matrix multiplications will produce a transformed data matrix Xdash of shape n x k? Multiple choice - The sigmoid function is defined. What does its value tend to as its input x moves towards negative infinity? Multiple choice - SQL challenge of 2 tables with example answer, typed answer in SQL language of choice required - You are playing a card game with three cards. Both sides of one card are black, both sides of another are white, and the remaining card has one black side and one white side. You pick a card at random and see it has a black side face-up. What is the probability that the other side of the card is white? Multiple choice - 'Descending Mount Trigonometry' question - code your own answer

To create a network graph from a log file in 20 mins. Guess the interviewer wanted a simple dictionary as a data structure but confused me with calling it a network graph repeatedly. If he indeed wanted it like a graph where all properties such as pre order , in order traversal could be applied. It's no way a 20 min question.
avatar

Data Scientist

Interviewed at Meta

3.6
Mar 17, 2018

To create a network graph from a log file in 20 mins. Guess the interviewer wanted a simple dictionary as a data structure but confused me with calling it a network graph repeatedly. If he indeed wanted it like a graph where all properties such as pre order , in order traversal could be applied. It's no way a 20 min question.

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