Why this company and this role?
Senior Associate Scientist Interview Questions
143 senior associate scientist interview questions shared by candidates
Assessement: Questions regarding sql, ML, stats , and 1 coding for ML and one for postsql 1st interview: Basics of ML, stats, python , sql like overfitting, vif, hyperparameter tuning, ar and ma model of time series and difference among them, gradient descent 2nd intervew: One aptitude, Architechture of LSTM, working of tanh gate, why data should be stationary for time series, one solving based on gradient descent, dropout.
Review of resume
How do you improve an existing assay?
1) Technical difference between Pyspark and Pandas 2) If you have large dataset with 1000s of features and only want some important feature, how will you identify it? 3) Dimensionality reduction? And why PCA is not an ideal solution in real world? Any other options? 4) If you have to build a model for Business partners regarding calls received by them for Opening account, paying bill and q&a? How will you design the whole ML algorithm from scratch? What features you will consider as important? How will you get the data? All steps involved till end. 5) For continuous and categorical features, which ML algorithm is best? And why?
What are the most important factors to consider for upstream mammalian cell culture operations?
Mostly stuff about past work experiences, technical questions from scientist interviewers.
Why this role? What makes you a good fit?
Load the provided .csv files and answer a few questions programmatically based on the data.
Why Pfizer ?
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