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"The questions you are asked in an interview for a position as a scientist will depend greatly on field of science you intend to work in. Generally, interviewers will be interested in your formal education, field of study and specialization, work, internship, and research experience, scientific writing skills, and interest in the subject matter. Expect to be asked technical questions that pertain to the knowledge needed to perform the duties of the job. While there are some positions open to scientists who possess associates' or bachelors' degrees, most jobs will require you to have at least a masters' degree with the majority requiring you to have a doctorate."

54,399 scientist interview questions shared by candidates

Asking about topics from my cv: supervised&unsupervised learning mostly. 1)What is linear regression ? error and reguarization methods (L1&L2) 2)How to determine k in k-means? 3)difference between GMM and k-means. 4)Explain PCA. 5)How to decide how many PC (in PCA) to use? 5)What is t-SNE? 6)Explain the difference between bootstrap and bagging and give example for one model for each one of them.
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Data Scientist

Interviewed at Data Science Group

3.8★
Dec 21, 2019

Asking about topics from my cv: supervised&unsupervised learning mostly. 1)What is linear regression ? error and reguarization methods (L1&L2) 2)How to determine k in k-means? 3)difference between GMM and k-means. 4)Explain PCA. 5)How to decide how many PC (in PCA) to use? 5)What is t-SNE? 6)Explain the difference between bootstrap and bagging and give example for one model for each one of them.

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