Coinbase Statistics & Math interview questions center on practical, decision-focused probability and statistics skills applied to a fast-moving fintech and crypto environment. Expect questions that probe experimental design, hypothesis testing, confidence intervals and power, causal inference, bias versus variance, time-series intuition, and basic probability. What’s distinctive is the domain framing: many problems are cast against high-volume trading, user lifetime value, fraud/risk detection, or product metrics where small effect sizes, changing user behavior, and regulatory constraints matter. Interviewers evaluate your statistical rigor, clarity about assumptions, ability to design and interpret experiments, and how you translate quantitative results into product or risk decisions. Rounds commonly mix whiteboard problem-solving, take-home analyses or SQL/Python exercises, and case-style metric diagnostics. For interview preparation, strengthen core theory, practice A/B-test design and sample-size calculations, rehearse clear explanations of assumptions and tradeoffs, and work on communicating uncertainty and business implications with concrete crypto/fintech examples.