they asking about your backgrounds and questions from the most common problems on leetcode I have canceled the process at the end due to some responsibilities but it was a nice short journey
Sr Data Scientist Interview Questions
3,380 sr data scientist interview questions shared by candidates
1st round: medium level data manipulation, wrangling 2nd round: probability, maths based coding, complex algorithm questions. 3rd round: Extremely vague system design. I was given computer vision based system design which I did 5 years back.
About projects which you have done in the past
Almost all questions were standard, I don't recall a difficult question.
Difference between lstm and bert?
Data Cleaning for the particular dataset
En la prueba técnica: problemas de algoritmia básica con Python y el desarrollo de un modelo de Machine Learning. Business case relacionado con Glovo.
Some questions about data science concepts, from classification to PCA to NLP.
1. End to end data design task including classification and anomaly detection. Focus was heavily oriented towards metric specification and detecting anomalies. 2. 5 values based questions, including one about colleague trust, another about weighing up costs when designing a data pipeline, and another about stakeholder engagement.
coding around python list and dict. Question related to basic data cleaning and feature engineering. Explain various machine learning algorithms used for classification. Metrics to evaluate a model PCA
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