No technical or hard questions. They asked me to talk about the major projects that I've been working on.
Sr Data Scientist Interview Questions
3,368 sr data scientist interview questions shared by candidates
How would you calculate the cost of a missed shipment?
What is funneling method in marketing.
sql query for joining 3 tables with duplicates and cte with some interval chaining logic
They asked a combination of problem solving, programming, CV, ML, DL, DS questions. Due to NDA, I cannot reveal the questions per se, but here is an overview of some concepts they tested. CV questions- (Resume related and some applied problems) CNNs out there, basics, losses, etc... Favorite papers and details of architecture GANs Programming: Standard easy-medium leet code questions Sampling, probability, python programming. Other ML/DL questions: Ensemble methods Classification basics - loss probability basics recall, precision, ROC etc clustering basics + advanced dimensionality reduction Interviewers touched upon almost all CV, ML and DL basics. They asked a bunch of applied questions too.
Each interview involved a mix of behavioral questions and an in-depth discussion of my previous projects. Additionally, they presented an AI case study, asking how I would enhance a telescope's capabilities using AI.
Predict the rental price of an apartment
Can you describe a project where you were responsible for a specific functionality from inception to deployment? What steps did you take to ensure its successful implementation?
conceptual data analytics problem and solution
Where do you see yourself in 5 years?
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