Statistics, Retail, Data Science, Machine Learning
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
Implement K means coding algorithm
1. If the dataset is imbalanced, what metric should you use? 2. The predictive model gave x, y ,z churn rate predictions for customers. What would you do to convince the stakeholders that this is a good model?
Tell me about a time when you had a conflict and how did you resolve it? Tell me about one of your past projects/papers you are most excited about.
What are hallucinations, and how to avoid them, what is catastrophic forgetting, and similar questions. Another manager round with some HR questions, like sharing past learning experiences, was also asked about an open-ended ML system design for next-word prediction in an app. Third was the coding round, where they asked me to find an accurate threshold for classifying using a really bad classifier. The answer should be the F1 score, and I was supposed to code it up live.
Describe how you would build a model that recognizes whether a person is wearing glasses in a photo.
Tell me a time when you worked in a team?
Sorry, signed a NDA
Implement NN from sctrach without using torch or tensorflow libraries
Just questions in my resume.
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