A take-home project. Then talk about the project and one project at work.
Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
How would you determine impact of misdiagnosis on cost of care? (Literally the question the whole company was founded to solve…no add’l detail)
How to avoid overfitting in neural networks, working of convolution neural networks, etc. Mainly things would revolve around the math element of deep learning.
The buy/sell stock days to gain the maximum benefit.
Walk through the resume; what is one feature you want to have added; how will you assess the success of this feature Tech part: exactly the same SQL questions like in Facebook's interviews (left join, self join) but then was asked to rewrite everything in Python
Describe a previous data science project you worked on
The initial interview was difficult to schedule , it seemed as if they were juggling multiple candidates. For most normal companies hiring for DS roles , the HR round is hardly 30 min. and its over within 15-20 min., once they figure out the candidate is not lost scientist or a jerk. This first interview (1 hr duration) was pretty hectic with 3 questions about Decision trees, neural networks and something else. The HR had a template to evaluate you and move you to the next round . In the next round , its an interview with the HR Director and they would ask a lot of behavioral and other types of questions. Then they gave a 3 day DS Challenge forecasting exercise to forecast a Google trends search term, which was ridiculous , considering that it was nothing close to real data and you really cannot ask a question. Got a reject after about a week of submitting my challenge solution. The hiring manager is the CEO and you don't even get to speak to him unless you have completed the DS exercise. That's really a waste of your time. Overall -- Average interview experience.
Case studies and business questions related to Vacasa business.
OR, linear algebra, probability, coding
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