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.
Suppose you have a list of strings, each of which is an English sentence. # Output a dictionary out_dict that maps a key n to the list of words that occur in n different sentences. # E.g. # Input: str_list = [ “The cat ate the fish”, “The cat saw the roses”, “The roses are red” ]
The interviewer was team manager and explained what his team is doing. After that, he asked me on my previous projects. He explained one of the projects his team is working on and asked me how to solve some specific problems related to the project.
How do you weight 9 marbles three times on a balance scale to select the heaviest one.
How to reverse strings with changing Position - Answered
Technical case interview which is a mix of modelling skills + classical case interview structure
How do you take millions of users with 100's of transactions each, amongst 10k's of products and group the users together in a meaningful segments?
Asked coding and data flow questions. The interviewers were friendly, but the questions were more centered on computer science than I expected. There were no social or general case study type questions.
Work in PV (at the Company) is quiet different from work in Biotechnology (my background)
What is the size of Ethernet packet frames and why is it so? How does it help synchronization?
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