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Describe how you see your career development over the next five years and how Waymo fits into that?

Could you produce 1000 data points in R with a normal distribution, defined mean, and variance, analyze the dataset summary, and plot its density? Also, show how to do this in a Python environment on Codility.

If you noticed any outliers within the data on the first three columns, how would you adjust your analysis in comparison to the last three?

How well-versed are you in different types of machine learning architectures? Could you provide some examples of those you've worked with?

Tell me about a time when you had to help a colleague in a different area from what you normally manage. What happened?

What is your technique for identifying any overlapping ancestors between two people when examining separate genealogy charts?

What sort of problems have you faced with supervised machine learning? How would you overcome them?

What is it about the Data Scientist role at Waymo that excites you the most?

What did you learn from a recent failure? How has this failure made you a better Data Scientist?

What are the main steps one should follow during an ETL process? How do you optimize this process?