How to evaluate ML models?
Sr Data Scientist Interview Questions
3,380 sr data scientist interview questions shared by candidates
Tell me about a project that you worked on before
Focus was on machine learning (data selection and sampling, algorithm choice, model training, model deployment) and classical statistics (model interpretation, statistical inference), with some higher level/more conceptual engineering questions.
NDA stuff. But pretty interesting interview process.
Given a dataset, asked to build a prediction model.
There were two questions, one was to write code to count occurrences in a string, and the other was the write a moderately complex SQL query.
standard HR and data science interview questions
There is a great focus on statistics + Python code. An interview is behavioral
Thorough hands on data science workflow (eda, data cleansing, ML application/ feature engineering iteration) to solve a business problem.
DSA question with mL GenAI
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