Statistics, Machine Learning, Bayes Theorem, Python Programming test
Junior Data Scientist Interview Questions
1,152 junior data scientist interview questions shared by candidates
Python - Dynamic Programming, Arrays
Be prepared to describe your analysis of a project in detail.
Given a list of numbers: 10,20,30,40 What is the code to produce the output: 100, 90, 70, 40. What would be its time complexity
Introduction and why you are a good fit
Describe a data science project
Tell us how you'd write a function that takes an integer and returns the sum of its digits.
The questions in first round are related to your background, including self intro, why a good fit, describe a data science project, your programming skill, etc. The questions in 2nd round have 3 parts: self intro, coding, case study. Coding is related to writing functions and loops. Not hard but they may want to see if you can communicate your idea well. Case study is like solving a machine learning problem, given a context(shipping), what is your target variable, what features you may want to include, what models you will try, how to evaluate your model, etc.
Talk about a time that you changed someone's mind?
Difference between python array and numpy array
Viewing 421 - 430 interview questions