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Data Scientist Junior Interview Questions
1,124 data scientist junior interview questions shared by candidates
D: Explain how you used your Data Science skills in the context of the Master's thesis, with a focus on the main topic (PCA).
Explain your projects which is mentioned in your resume Have a Knowledge in data science domain and statistics
Relier chaque librairie à son utilisation (Numpy, MatplotLib, Scikit Learn,…)
Based on your background, they will either ask questions from Statistics (in particular, Bayesian Statistics) or questions pertaining to programming. The former will usually include full-fledged numericals, for example, you may be asked to find the probability of false positives in a new clinical trial given some data using Bayes' Theorem. You may also be asked basic definitions such as "Intuitively describe what the "likelihood" of an event is and how it differs from simple probability." Both my interviewers were kind and guided me when I got stuck. They do not need you to know the answers in advance, just be able to reason and discuss well and also be able to use a wide variety of tools to tackle a problem.
Explain Bayes Theorem and explain Central Limit Theorem.
machine learning, time series, sql
Fairly straightforward ML and Python coding problems.
how long does ab test run?
What character traits should a good manager have?
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