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Tell us a bit about what you know of Twitch?

What techniques are available to reduce dimensionality in Machine Learning, and how are they used in practice?

How are you the most qualified candidate for this Data Scientist role?

If you were to get the Data Scientist job, how would you improve Twitch?

How would you design and test a metric to compare two user's Netflix recommended lists of movie/tv show preferences.

What are some of the optimization techniques you’ve worked with or studied? What is your methodology for optimizing a function that includes a million variables? Can you describe the procedural steps of the simplex method used for optimization?

How do SQL window functions work, and in what way are they distinct from aggregation and join operations?

Explain one of the processes you learned/developed during your previous job, which you believe will prove valuable in your future position with Twitch

What indicators do you inspect to verify whether a marketing channel is yielding positive results or not?

Would you be willing to share an experience where you took a risk?