Questions regarding Logistic and Linear regressions
Sr Data Scientist Interview Questions
3,420 sr data scientist interview questions shared by candidates
Review, explain and edit an algorithm in python. Not very structure and very vague.
Difference between variance and bias
Confidential, not supposed to be disclosed
General questions about my background.
Do you think it is a good thing that datasets are getting larger and larger?
Explain over fitting and under fitting
The coding test had to do with simple concepts in algorithms and machine learning, while the 1-1 interviews were of a broader scope where we discussed standard tools and concepts in data science, as well as broader aspects of collaborative research work.
1. 1st round involves question related to projects and earlier experience. 2. 2nd round is to develop model to classify for a given geolocation the position has rooftop or not. 3. Theoretical question simple based on performance metrics like F1 score, precision, recall, MAD which were used in my projects.
The assignment was a real estate price prediction problem ,they ask you to provide insights and do Machine learning to predict the price of units in Greece . Here when I really became disappointed , the data science consultants ( or who claim they are) who interviewed me lacked basic intuitive knowledge about data science , questioned the why behind creating a simple benchmark to validate ML models on . They also seem that they didnt try to solve the problem before they gave out to candidates , which made them unaware of the aspects of the problem
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