Technical - Python, DSA, Data Science
Associate Data Scientist Interview Questions
500 associate data scientist interview questions shared by candidates
Past experience Take-home exams Both technical and behavioral
1) Technical difference between Pyspark and Pandas 2) If you have large dataset with 1000s of features and only want some important feature, how will you identify it? 3) Dimensionality reduction? And why PCA is not an ideal solution in real world? Any other options? 4) If you have to build a model for Business partners regarding calls received by them for Opening account, paying bill and q&a? How will you design the whole ML algorithm from scratch? What features you will consider as important? How will you get the data? All steps involved till end. 5) For continuous and categorical features, which ML algorithm is best? And why?
What is the other name of the sampling with replacement?
ML, NLP, Deep learning, Time series, etc.
experience with pytorch, jupyter? experience with Docker
Describe cross validation and what its main purpose is in a Data Science workflow.
What type of manager do you like
Case study of transportation metrics, adding service in Astoria, Queens. all the same ones you've seen on here
Cognify: Game-based assessment. You have to play 5 types of games which generally takes about 30 min to complete. Hackerrank Assessment: Was given 2 questions to solve with a total time of 3 hours but they generally expect you to solve it within 2 hours. 1st question was an SQL query for a telephone billing company, where you had to fetch the name of client with his/her incoming minutes, outgoing minutes and total charges based on some formula. 2nd question was a Python program asking to perform some statistical operations to be performed on a dataset involving combinations.
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