Product related metrics scenarios, it is consistent with most companies with product data science teams
Data Scientist Senior Interview Questions
3,387 data scientist senior interview questions shared by candidates
Cite um projeto que você se orgulha e como desenvolveu ele.
What is the difference between XGBoost and LightGBM?
The questions were specific to my background: Describe when you’d use a linear mixed effects model and the assumptions behind it.
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?
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