Focus was on machine learning (data selection and sampling, algorithm choice, model training, model deployment) and classical statistics (model interpretation, statistical inference), with some higher level/more conceptual engineering questions.
Sr Data Scientist Interview Questions
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Describe how SHAP values are estimated.
Case Study, Your day to day, Why work at TALA?. Background-
How would you optimise your ML model? What would you do if the deadline to a client is fast approaching and you still haven't made satisfactory results?
Behavioral questions Tech Consulting cases
There were two questions, one was to write code to count occurrences in a string, and the other was the write a moderately complex SQL query.
Your previous experience with ML in other companies
How do you select a random row from a table
Technical interviews asked python and SQL questions. Generally SQL questions involved doing some joins and groupbys. Python questions typically had you read in data and then calculate some quantities. Sometimes they let me use Pandas and other times they had me basically re-create a pandas function which seemed a little strange. Was asked a few specific questions about time-series modeling due to the position.
Describe how regularization works for linear models
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