It was 3 rounds. First round fundamental ML and statistics (PCA, multicollinearity, distributions, clustering). Second round was hands on model building, given a data set and then questions on it.
Cientifico Senior Interview Questions
3,515 cientifico senior interview questions shared by candidates
Q: can you please tell us a bit about your background? Q: How /Where did you get the labels for the NLP task?
How did I move from the ideation stage to a developed product?
touched almost all topics, including Python, NLP, LLM, Model architecture, ML Ops, Deployments (CI/CD).
Die Herausforderung bestand im Lösen einer Aufgabe. Wie gehen sie vor ? (Konzept, Erklärung) Wie setzen sie dies um ? Welche Alternativen kennen sie ?
Coding and behavioral which were quite easy
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.
SQL and Python pandas database transformation. Walk through a classification problem and caveats (how would you measure performance and feature importance)
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