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Sr Data Scientist Interview Questions
3,390 sr data scientist interview questions shared by candidates
Technical questions about modeling choices and techniques, data train/test/validation breakdowns, features one might consider and how and why to consider them (or not), etc., and some basic programming algorithm questions (e.g. describe conceptually or write in pseudocode how you would do X). The technical questions were comprehensive but fair; quite well done overall. There were some behavioral questions in the 3-hour session; basically what one would expect from behavioral questions.
When are you available to interview?
To develop ML model which faces actual problems
Tell me about yourself and describe your recent experience.
BestSecret is a closed shopping community. This means that you cannot make a purchase or even see our offering if you do not have an account with us. The most important way to get an account is to be invited by an existing member of our community. Members inviting new members is an essential way to increase our overall customer base. Now, imagine you are a Data Scientist at BestSecret. A member of the marketing team approaches you and asks you for a selection of customers we should target. The goal is to improve the customer base in terms of size and quality. They will target customers with informative mailing to incentivize them to invite friends. You understand that they are looking for a subset of customers, who are likely to invite multiple new customers with high spends in the shop in the future. You assume that every customer only knows a limited number of people to invite and starts with inviting family members and close friends. Also, some customers might not know that it is possible to invite others. So, you will focus on finding customers with no or only a few invitations so far. However, those customers should show potential based on their demographics and order behavior. The result of your analysis should be a list of customer IDs to target.
What is OLS? A/B Testing Experimentation questions.
Bias Variance and it’s examples
Bayes type question, updating likelihood. Brush up on your Bayesian methods.
Complete a data challenge. Two parts: (1) Airbnb testing one of their features, (2) a randomized experiment and causal modeling.
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