A description of the past projects and the challenges faced while implementing the projects.
Data Science Engineer Interview Questions
10,344 data science engineer interview questions shared by candidates
Q1. Simple coding and optimization question. LC Easy. Q2. Statistics question. One word answer. Q3. Analyze the given dataset, derive insights and predict a variable.
How did you implement innovative strategies in your previous work as clinician?
Simple questions from resume. Logistic Regression, Python and SQL coding questions.
What proportion of a massive data set should be sampled with replacement when bootstrapping for RF? How would you identify the strongest/most important predictors of a trained NN?
What proportion of a massive data set should be sampled with replacement when bootstrapping for RF? How would you identify the strongest/most important predictors of a trained NN?
Describe in detail a recent project you worked on
Tell me about yourself. Talk about your projects
"why aren't you on the google meets that I scheduled 2 hours ago without any notice? can you get on right now? can you open X project you worked on?"
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