Most of the interviews were just Markov chains, probability/EV, a couple of popular brainteasers. The final round data interview basically just tested your intuition for a dataset and talked through how you would analyze it to make some predictions/recommendations.
Probability questions, especially focused on bayes stuff
Probability and knowing a little game theory helps too.
Show us a poster or paper etc from your PhD and talk us through it.
What is a project/task that you have worked on that didn't have your desired outcome? How did you learn from that situation?
Why do you want to work in Caladan?
How do you select variables if you have thousands of variables in the dataset?
How will rate companies looking at the stock prices over time?
How to properly declare templates in C++?
A mix of probability, statistics and calculus questions
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