Google data scientist interview with a meaty product analytics case. The question was open-ended enough that I kept second-guessing whether I was going too deep on methodology or not deep enough on the business side.
“I started by listing confounders which felt right, seasonality, platform changes, competitor launches, but I got a bit tangled trying to bridge from 'here's what could cause this' to 'here's how I'd actually test it.' The A/B framing is tricky because you're often post-hoc on a drop like this, so I ended up talking about a holdout design and synthetic control for the Mexico market since the sample dynamics differ.” The rest of the author's notes on Data Scientist interview at Google, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.