Uber Statistics & Math interview questions focus on statistical intuition applied at marketplace scale. Expect problems that test hypothesis testing, confidence intervals, regression assumptions, causal reasoning, power and sample-size calculations, and probability/estimation skills. What’s distinctive at Uber is the emphasis on experiments and marketplace dynamics: interviewers often probe for how you handle multiple testing, selection bias, time-varying confounders, and how statistical choices ripple through a two-sided system of riders and drivers. Beyond formula recall, you’ll be evaluated on modeling assumptions, practical diagnostics, and your ability to explain uncertainty and trade-offs to non-technical partners. For effective interview preparation, practice both fast arithmetic and clear verbal explanations. Prepare by reviewing the Central Limit Theorem, p-values versus practical significance, A/B test design and power analysis, regression diagnostics, and basic probability distributions. Do timed practice problems and run small simulations in Python or R to build intuition. Work on succinctly describing methods and limitations for product and engineering audiences, and rehearse whiteboard-style case walkthroughs that connect statistics to business impact.