First Round ------------ Basic ML/ Python: 1. Explain underfitting and overfitting? 2. Explain bias and variance tradeoff? 3. How do you calculate the sum of complex numbers in python? 4. What data structure did you prefer to store students' names and their marks? Behavioral: 1. Why did you switch from non IT branch to Data Science job and how? 2. How did you learn new things? 3. Coming from a non-CSE background, don't you think it would be better if you did masters in the CSE/Data Science field? 4. Why are you looking for a job switch? 5. Why Ford? Final round: Ask me to present on one of the major use cases.
Sr Data Scientist Interview Questions
3,367 sr data scientist interview questions shared by candidates
Describe a previous machine-learning based project
What could you have done better, what are the other ways to implement this approach?
How would you calculate correlation between a binary variable and a continuous variable?
Describe a time when you get above and beyond for a customer
Describe the iterative steps k-means takes to find clusters, how would feature importances change if you retrained the model with a duplicate column, walk through the steps of loading data from S3, cleaning it, then training an ARIMA model and generating forecasts
Typical questions regarding resume and experience.
The team wants to invest $1 million in a direct mail program. They've never done direct mail before. What do you recommend for the short term and the long term?
Implement Kmeans clustering and go through different applications and uses
General machine learning algorithms(knn, svm)
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