The Microsoft Data Scientist interview process
Statistics and probability
Hypothesis testing, distributions, and reasoning about uncertainty.
Machine learning
Modeling choices, evaluation, and tradeoffs across common algorithms.
SQL and coding
Query writing and light programming to work with data.
Applied case and behavioral
Framing a business or product problem with data and communicating findings.