In einem Vorstellungsgespräch für Datenwissenschaftler stellen Arbeitgeber wahrscheinlich Fragen zur Beurteilung Ihrer Kompetenzen in Datenmodellierung, Problemlösung und Programmierung. Bereiten Sie sich darauf vor, allgemeine Fragen zu beantworten, die Ihre Kenntnisse in Statistik und Datenwissenschaft testen sollen. Sie müssen evtl. auch offene Fragen beantworten, mit denen Ihre Kreativität, Kommunikationsfähigkeiten und Ihre Ausbildung in Datenmodellierung und Programmierung geprüft werden.
What are different Time Series forecasting techniques? Explain PCA with equations? How to solve Multicollinearity? What algorithm you would use to solve driver accepting a requesting? Which supervised algorithm you would pick to solve the above problem? How do you compare the results of the algorithm? Coding question on patients arriving at hospital and doctor attending the patients
How to verify that a catalog mailed to customers has been well-received?
Probability (Bayes' Rule, etc), statistics, algorithms, calculus.
Dynamic programming/backward induction on a multi-stage decision making problem
Work through problems on the hackerrank site, it's good preparation
-Resume related questions - Process of building a predictive model
There were some specific stats questions that I wished I had answered better.
what is ensemble Learning Algorithms kinds ?
What metric would you show small businesses if you were trying to have them sign up for Facebook Ads
Tell me about a time when you received constructive criticism and how you handled it.
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