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Science Interview Questions
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Level: Medium-Hard OA: 3 Sections Section 1: Stats Question on Hypothesis Testing Section 2: Stats Question on Regularization Section 3: Fill in the modules for KNN Clustering from Scratch
How do understand the document give to you and how you are going to analyse it
What if you promised work to a client for a deadline, but the data wasn't accurate. Would you send it anyway, or improve it then send it?
I was given a take-home test based on one of their real challenges.
Have you worked with attribution models in digital marketing? If yes, where and how many years of experience?
A product will be launched for 1000 people. Everyday 10 people will see it. What's the average number of waiting days for a person to see the new product?
What makes you different from rest of the data scientists?
Which Machine Learning techniques is a good fit for the kind of datasets (mixed dataset - categorical and numeric variables) we use?
What year are you going to graduate?
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