If a feature was added to the game, how would you measure its efficacy?
Sr Data Scientist Interview Questions
3,371 sr data scientist interview questions shared by candidates
During the interview, the interviewer focused on an older project from my resume. I explained the project in detail, but the conversation was one-sided, with no follow-up or technical questions asked. The lack of engagement made it difficult to gauge their interest
What is a project that you have worked on that has involved machine learning?
1. Why didn't you deploy model using SQL?
I had 4 rounds in my interview which includes 3 technical and 1 HR round. Round1: About python and ML basics. Round2: Touching different ML concepts based on my projects in resume. Round3: Case study. I was given 2 days of time and asked to train an ML model using the data given by them. I was also asked to document my results and observations. Round 4: HR round
Join a bunch of CSV's and calculate some metrics. Last question was ridiculous and could be answered any number of ways but obviously there isn't any context on the direction to take so given the time constraint that you're supposed to adhere to there's not much you can do. Hard pass.
Sorting Algorithm, Time Series Model, Basic Regression
Leetcode med/hard - has nothing to do with data science.
It felt like I was playing 21 questions
How many maternity beds there are in teh uk
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