Walk through a bayesian probability question theoretically then code in Python.
Scientist Interviews
Scientist Interview Questions
"The questions you are asked in an interview for a position as a scientist will depend greatly on field of science you intend to work in. Generally, interviewers will be interested in your formal education, field of study and specialization, work, internship, and research experience, scientific writing skills, and interest in the subject matter. Expect to be asked technical questions that pertain to the knowledge needed to perform the duties of the job. While there are some positions open to scientists who possess associates' or bachelors' degrees, most jobs will require you to have at least a masters' degree with the majority requiring you to have a doctorate."
54,376 scientist interview questions shared by candidates
About yourself
Tell me about the projects you have worked
In phone screen, how would you calculate the posterior probability in a dice rolling experiment with weighted dice?
They asked a lot of questions like machine learning algorithms, basic statistics, knowledge of R and Python and also about projects you did with your current employer.
walk us through your profile
Case study: How will you allocate resources in a call center? What do we learn from demand and supply? Will go after precission or Recall for such a case as a check on your model?
Describe how do you use CNN as your project? How difficult it is to explain the feature importance in deep neural networks.
DS challenge, is more like an unsolvable problem
Are false positives or false negatives more important?
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