Questions around projects done in earlier workplace. Explanation of some core deep learning concepts and it's application. Discussion on details of model and data science application experienced during earlier projects.
Sr Data Scientist Interview Questions
3,367 sr data scientist interview questions shared by candidates
Fundamentals such as difference between covariance and causation , Bayer Theorem. Questions about my previous projects Explain over fitting to a client
Do SQL joins with out using Join?
How driven are you compared to others you know? a) I'm the most driven person I know b) I'm in the top X% (10-25%... forget exact number) of people I know c) I'm as driven as most d) less driven than most
1. write a python code foo(x) where foo(4) =3 and foo(3)=4 2. How would you design a google calendar-like app. 3. Given a jupyter notebook, find what was done wrong. Try going over model assumptions, accurate metrics for imbalanced data etc... They give you the data in advance so try going over it and predict what they might ask about it
LeetCode "704. Binary Search". Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1. You must write an algorithm with O(log n) runtime complexity.
Given data, how would you write a query to get an unique number of users?
Explain the transformer architecture and each of the components.
Make sure you can talk about your past projects in satisfactory ways.
Tell me about a side project you worked on - what motivated the choice, what skills you learned, the overall outcome.
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