The Google Data Scientist interview process
Statistics and probability
Hypothesis testing, distributions, and probability reasoning applied to real problems.
SQL and coding
Query writing and light programming to manipulate and analyze data.
Analysis and experimentation
Designing and interpreting A/B tests and reasoning about metrics and causality.
Product and behavioral
Framing ambiguous product questions with data and communicating findings.