Explain the end to end process of deploying a model.
Sr Data Scientist Interview Questions
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Bring and review past coding project: why you made the decisions you made, why you structured the code this way, etc.
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
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