In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
Imagine you were hired by a hospital to analyze some of their patient reports. The diagnosis of each report consists of a list of disease IDs, while the body of the report is the symptoms and the medical history of the patient logged down by the doctor in natural language. Propose a model to describe the correlations between the set of symptoms and set of diseases extracted from the patient reports.
Describe your experience with qualitative and quantitative methods.
What things motive you?
Discuss your own published work.
What is important when working with people from different countries? Advantages and disadvantages.
Why BASF?
Did you ever have any conflict with a colleague? How did you react?
Nothing too difficult
Why Hitachi? Why are you pivoting/changing your career? Which software/tools do you use for power system studies? When would you be able to relocate?
Assumptions of regression Explain naive bayesian method? Case study of a business problem
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