Sr Data Scientist Interview Questions

3,513 sr data scientist interview questions shared by candidates

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.
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Senior Data Scientist

Interviewed at adjoe

4.3
Aug 29, 2025

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.

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