This was effectively a ML system design question for a entry level position. It's not hard to guess what one could be given that they are effectively trying to solve problems in supply chain. Hint: Try to look up ML system design questions at companies like Uber.
All math questions originated from the company's own daily routines. If you have taken a collage level statistics class you should do just fine.
What makes you a good candidate?
How to vectorise a certain set of operations using Numpy.
Run of the mill interview.
90 minute coding assessment was relatively standard: Data Sci algorithms and ML knowledge.
80 in 8 questions (Mental Math)
What do you understand about the Kubrick training model? Why do you want to do Machine Learning?
CV related questions, drill in to past experience
Coding question Questions on ML
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