ML project - impact , algorithm and metrics used
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
Second is Technical HR: First question was about Filter the numbers in the list by exactly 2 digits and store it in a separate list. Second was prime numbers Projects which ive completed in data science python, works i have done in my previous organization. challenges ive faced in previous organization
Python related algorithms from leetcode. SQL coding ML concepts In depth analysis of the Machine Learning project I worked on
Tell me when you've had the most fun at work
Q: can you please tell us a bit about your background? Q: How /Where did you get the labels for the NLP task?
1st round - Online test (coding + MCQs on data science) 2nd round - Technical interview. Questions related to your past work and projects. 3rd round - Technical interview. Questions on common ML algorithms, parameters, bias-variance, metrics, quant problems, statistics, probability etc.
No detailed data science question will be asked they will ask very basic questions and rest is your luck. because you will not be able to know what and why did not like. the question such as how did you remove null value /outlier treatment/ training process.
1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Normal python questions and questions related to my projects.
bias vs variance tradeoff
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