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.
The challenge had 3 parts: SQL, Experiment Design, and Machine Learning. In the SQL portion you had to write some queries to answer complicated real world questions (without any data given, just a schema). In the experiment design portion you are asked to create a hypothetical plan to answer testing a new app. In the Data Science portion, you are asked to perform binary classification on a given data set, and return insights from the classification.
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Describe a time that you experienced a difficult problem during an experiment and how did you go about solving the problem.
What is your biggest weakness in regards to this position?
What do you do in your spare time to relax?
What are you interests, future career goals etc
Describe your work experiences
Build a pricing algorithm with an RMSE below a certain threshold.
They gave a hypothetical dataset from a relational database and asked how I'd analyze data from two different tables. The challenge was there was no common key between them.
In technical interviews, one point to notice is that you won't get the usual Customers/Sales exercises. It's all based on their real prod data/prod issues
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