Questions classiques: pourquoi SIA, le conseil, etc... Partie technique: cas d'étude, questions sur des méthodes usuelles dans le ML.
Data Consultant Interview Questions
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Use Case sur un cas pratique, grand retailer, questions sur les features à choisir, le modèle à utiliser etc
Le site de Sia Partners décrit le contenu de chacun des 4 entretiens.
Mises en situation projet client
Between resampling methods and data simulation, which method would perform better on average for outlier detection?
Why do you want to pursue a career in data?
Design a process to improve demand forecasting using some available data (marketing, sales,employee performance etc)
What do you see as the future of data management?
Why Kubrick? Why data engineering? What would you do to grow Kubrick if you were CEO?
Which of Kubrick's values do you most identify with?
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