Most of the questions were standard interview questions regarding my past experience and the material I discussed in my presentation. There were further questions regarding why I had chosen my career path, examples of how I've handled a difficult situation, and what are my greatest strengths as well as areas for improvement. There wasn't anything particular tricky. In that sense the interview was straightforward.
What is special about stem cells.
Summarizing the clinical trial result
Q: What do you know about Veeva and its products?
1. ML core questions 2. SQL questions 3. Data science project work related 4. how did you handle team 5. how did you manage conflict
What is your desired salary?
Questions were based on continuum mechanics and finite element method.
what is your opinion on cell therapy
Probability questions based on Bayes Thearem.
SQL: quite basic joins, groupbys, some window functions Python: create a function to estimate cashback of each transaction given different assumptions Experimentation: there were maybe a dozen questions here, do your homework and learn about experimentation!
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