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I'd like you to tell me about a time when you changed how you worked.

How would you improve EPAM Systems if you were to get the Data Scientist job?

When do you prefer mean over median? Can you walk me through an example?

How did you handle a task where you had a deadline and couldn't meet it?

Can you outline the algorithmic time complexity for training a support vector machine? What would you estimate the time complexity to be for an SVM during the inference stage? How do Linear and RBF kernels influence the computational time complexity of SVMs?

Tell me about a time when you got a performance rating you disagreed with.

What is a non-normal probability distribution? Could you suggest a practical example where this distribution would be an appropriate tool?

Design an algorithm that can find all possible triplets in an array of integers that sum up to a specified target value.

In what ways are your experiences aligned with EPAM Systems's values.

When faced with gradient problems, how do you modify your deep learning algorithms to ensure stable and accurate predictions?