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Senior Data Scientist Interview Questions
3,397 senior data scientist interview questions shared by candidates
I was asked various questions about a take-home task to probe my thinking, as well as more general questions about the field
Explain how to handle missing data
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.
General profile questions, talking through current role and CV.
Explain in detail in one of your projects. Business case interview - how would you measure the health of X product?
Do you know what supervised ML is
Technical questions based on profile - Deep Learning, Autoencoders, Regression, tree based algorithms, time series forecasting etc.
From very general ML theories to very specific algorithms.
Tell us about a time you introduced a new way of working.
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