Questions d'entretien de Data scientist partagées par les candidats
I have a deck and take one card at random. What is the probability you guess it right? Then I give you two questions and you can only ask one: a - is the card red b - is the card 10 spades Which one would you ask and why?
1/52 I will ask a. - if the card is red? because greater probability of success (13/52) compared to 1/52
Develop an iOS App with the welcome screen asking the user to fill in an airline 2-digit code, after which the App will return the name of the airline. Note that the reference file contains airline codes and names.
Develop a webpage/web app with the welcome screen asking the user to fill in an airline 2-digit code, after which the app will return the name of the airline. Note that the reference file contains airline codes and names.
What other features (e.g. destination temperature, currency, country GDP) do you think would be interesting in this data set? Can you find sources (e.g. weather API, CIA world fact book, Wiki) for these features and add them to the data set? Show the results during the interview.
How would you store the data from the reference file if it would have been significantly larger? And with that assumption, store the data appropriately using tools, techniques and software, as you see fit. Prepare an environment that you could show on the interview.
Use the results from previous exercises, add other data sources if necessary, and if necessary add dummy generated data to ensure you have training data set and test data. With that use ML, supervised and unsupervised, and deep learning to create a predictive model and show this during the interview.
Imagine you were asked to sell the product from Exercise 4 to an airline executive by writing that person an email. Prepare this email and present it during the interview. The email may include attachments of any sort. Also prepare a phone pitch of 2 minutes for when the airline executives calls you.
Imagine you are working for IATA, and we ask you to propose a potential BI product (leading edge and appealing visualization and analytics) for airlines, based on the data from Exercise 2, if necessary add other data sources to it, even if dummy. The user would be specific airlines interested in benchmarking (plus other interesting dimensions) themselves against other airlines and other interesting BI dimensions. Use necessary tools, technique, and software to create this BI product. The product should ideally include advanced analytics. Ideally your demo should be real and functional, if not possible, create mock-ups etc.