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Sr Data Scientist Interview Questions
3,514 sr data scientist interview questions shared by candidates
Technical Questions: Describe, clearly, how a Transformer works. Describe the difference between an RNN and a FFNN. Discussed in-house project and possible tacks to take.
How many experience do you have with java, R, python....?
Business Case where we need to propose a solution for a problem using machine learning.
Use case on classical ML stuff
Interpret graphs, experiment result interpretation, etc.
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.
How do you determine sample size? What statistical test did you run for A/B testing?
How to evaluate ML models?
Tell me about a project that you worked on before
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