Difference between cbow and skipgram?
Sr Data Scientist Interview Questions
3,390 sr data scientist interview questions shared by candidates
which algorithms do you know for classification?
how do you decide which algorithm to use?
when was the last project you used supervised learning and to describe it
KPIs de glovo, por qué Glovo
How to evaluate AB test result How to determine how much traffic for AB test If CEO not ask for AB but full roll out, how to compare metrics before and after
Don't remember much tech questions. Overall, they were at most on medium difficulty. Final round was also technical. Probably a bit more difficult. It was more concentrated on infrastructural aspects - deployment to cloud, quantization etc.
SQL, machine learning related questions
Focus on my projects, AWS knowledge, data science and ML basics
One of the questions at the panel interview focused on how to handle high-cardinality categorical variables in a model, especially when a naive approach could introduce noise or performance issues. The discussion was very practical and centered on trade-offs rather than theoretical tricks.
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