Bring and review past coding project: why you made the decisions you made, why you structured the code this way, etc.
Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
1. Take home 1 - A probability question that is not too hard. Average 1-2 hours.
Case Study on Pricing. Based on probability theory and simulation.
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What are you up to? Where you would like to develop\grow? What is your notice period? Have you had an experience of remote work?
Natural Language Processing, Databases (SQL), Data Science general questions, etc.
This was a first stage interview so we just talked about the role, how they work and my previous experience , what projects I worked on in the past.
Presented a case about an international financial product and how to break it down to make it accessible to many customers from a financial as well as logistic perspective.
1. Programming questions 2. Machine learning and NLP concepts 3. Intent classification algorithm 4. Entity detection algorithm 5. Model performance metrics 6. LSTM
Case study - statistical analysis, and build a classifier for predicting high cost patients. This is timed to be performed in 3 hours. Totally ridiculous dataset - you'll get 18 files to analyze with each file containing from 120 - 20k rows, and each file has about 10-35+ columns. And you won't get any data schema, so you'll have no idea on the PK, FK. And PK are different for each file. You'll run out of memory, so analyze each file separately. And also look into the from_date from claims transactions file to include only latest transactions, as some of it is from 1929.
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