The questions were specific to my background: Describe when you’d use a linear mixed effects model and the assumptions behind it.
Sr Data Scientist Interview Questions
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The questions were either very unrelated, poorly constructed, or lacked a proper foundation.
Comment feriez-vous pour optimiser les promotions en magasin sur l'ensemble des réseaux de distribution ?
What do you know about our company and the role you're interviewing for?
How would your experience make you a suitable candidate for this role?
What would make you feel happy after a day of work.
What is a confounding variable? How do you interpret a hazard ratio? What type of analysis could you do with repeated measures? How would you select appropriate covariates for a study? What is the biggest contribution that real-world data can make in the next five years? What are some issues with using 'psychotherapy' as an outcome variable?
Explain very simple a Bandit algorithm for Ranking
Why do you change job?
What do you do in your current role?
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