Mistakes to Avoid

BAD: Spending 15 minutes describing an inner join’s syntax.
GOOD: Jumping to partition pruning and cost‑based plan discussion after the first minute.

BAD: Using a recursive Python function that allocates a list of size N².
GOOD: Presenting an iterative solution with a min‑heap that respects O(N) memory limits.

BAD: Proposing raw GPS logging as a metric source.
GOOD: Suggesting a differentially private aggregation that satisfies GDPR and the product’s latency SLA.

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FAQ

What interview question should I expect about SQL joins?
Google will ask you to design a churn query across three 100 million‑row tables and evaluate the optimizer plan; the judgment is on data‑volume handling, not on syntax.

How deep should my Python algorithm be?
Expect a problem that forces you to prove O(N) memory on a 10 million‑row dataset; the interview scores you on scalability, not on code style.

What compensation range signals an L5 hire?
A base of $185,000‑$190,000, a $30,000 sign‑on, and 0.04‑0.05 % equity is the benchmark for senior Data Scientist roles in the 2026 Google hiring cycle.amazon.com/dp/B0GWWJQ2S3).