No fixed question as they do not have role clarity. Simply asking here and there
Sr Data Scientist Interview Questions
3,395 sr data scientist interview questions shared by candidates
Do you know what supervised ML is
Describe me your past experience
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Tell me about previous projects you’ve worked on?
Asumptions of linear regression
General profile questions, talking through current role and CV.
Data Science Problems (20 minutes) Feature Interactions (10-20 minutes) Scenario: You are given a large, sparse dataset representing user interactions with a complex system. The dataset includes user_id, feature_1 to feature_n (binary), and target_conversion (binary). Question: Develop an algorithm to adaptively discover and rank significant feature interactions, considering the sparsity and high dimensionality of the data. Example of strong interaction: device language and creative language.
The data was a mix of anonymised categorical and numerical features of (I think) cars that were shown to users that ended up being booked. There was an open ended requirement of coming up with data analysis graphs, a simple machine learning model, a discussion on a possible product that could be built on it, and a discussion on either the price sensitivity of users, or the importance of price as a variable that's factored in by users when making a purchase.
Are ConvNets invariable to image rotations?
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