We discussed a number of things, e.g., some machine learning questions.
Sr Data Scientist Interview Questions
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Pourquoi Payfit ? Connaissez-vous les modèles ensemblistes ?
Assignment questions, some questions on XGB, Basic Python Questions, and 2 SQl Questions(just logic).Questions about current projects at work
Stats and A/B test questions, SQL, stakeholder management...
Tell me about your current role
Why do you like to change job?
Adaboost algorithm explanations, diff between other boosting algorithms.
There are two tables. The first table is 'RUN' and includes 'athleteID', 'RunID', 'RunDate', and 'RunTime'. The second table is 'Athlete' and includes 'AthleteID' and 'JoinDate' and 'Age'. Write a query that shows the percentage of athletes who participated in the program in April 2024, meaning they have records in Table 1. An athlete may have multiple records in Table 1, but they are unique in Table 2.
Questions were mostly on your data challenge, hypothesis testing (how you would set something up, etc) and Bayesian stat (how you set up a prior, etc). Again tech questions are not hard and they kept asking about if I would be comfortable working with customers or non-tech people.
Machine learning algorithms
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