Coding and behavioral which were quite easy
Senior Data Scientist Interview Questions
3,509 senior data scientist interview questions shared by candidates
A dataset challenge and interpreting a data visualization
How would you write some of the pandas functions from first principles?
There were questions about statistics, machine learning, etc. The usual stuff a data scientist is supposed to know.
Explain Transformers Explain BERT Model
SQL and Python pandas database transformation. Walk through a classification problem and caveats (how would you measure performance and feature importance)
1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Tell me when you've had the most fun at work
In depth about model performance metrics of supervised machine learning models.
Brainteaser: Würfel(seiten), Annäherung an Primzahlen etc.
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