What are your strengths and weaknesses?
Data Scientist Interviews
Data Scientist Interview Questions
In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Top Data Scientist Interview Questions & How to Answer
Question #1: Which data modeling techniques do you prefer and why?
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
Question #3: Describe circumstances that require a list, tuple, or set in Python.
54,342 data scientist interview questions shared by candidates
Explain why want work for this company?
Puzzles: 1. there are 10 bottles containing coins of 1 gram each. Of the 10, 1 bottle contains coins of 1.1 gram. We have to find out that 1 bottle after only 1 measurement. 2.There is a cylindrical glass filled with water. We have to determine if it is EXACTLY(not approximately) half-filled or not. We can't measure the water, nor can we dip anything in water, or measure the height of glass. We have to just look (may be hold) and tell. HR questions:- 1. What would you want to be if you were a traffic sign? 2. What would you do if you had 6 months left before you die? Why would you do that?
Do you have experience with protein purification techniques?
If you were a tool or object in a shed, what would you say best represents you.
How does random forest overcome overfitting
Mostly situational questions.
What is your strength and weakness?
If the compounds you have in mind, do not work out, what are the alternatives you have in mind?
Bayesians statistics, probability, and SQL coding.
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