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.
Programming Question: Maximum Product Sub array of size k (Better time complexity solution expected) Interview questions: Sort an infinite array, String rotated by k times, OOPs concepts(Polymorphism,Encapsulation), Next smallest palindrome greater than given no.
Python related technical questions and coding
Describe an influential manager you've had in the past and what made you work well together?
- Describe the most recent project - What is your scientific achievement - How to see if there was a contaminant in qPCR - questions about cfDNA: how to detect, how to identify mutations - technical questions about failed sequencing run: why cluster would fail - Come up with a new innovative technology that does not exist - Which direction sequencing technologies should move - statistics questions (pvalue, etc) - how to automate a process - describe a conflict, how did you sort it?
Describe how thermogravimetric analysis is conducted.
Do you have experience with RNA expression profiles?
Some questions on SQL and two IQ questions
Relaxed and conversational, a few brief technical queries (I assume to verify I actually had experience with the required technical skills).
I'm not going to answer this in specific. Be prepared to answer lots of experimental design questions. How you would direct new features, test changes to a product, what types of data to collect, etc.
we want to add a new feature to our product. how do you use A/B testing to make a decision?
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