Roku Interview Questions
The 14 Roku questions recorded here lean data science: 9 came from Data Scientist loops, with a smaller Backend Engineer track alongside. Analytics and experimentation is the largest topic, and bias-variance turns up twice in a way worth noting, once as a quantitative question about decomposing error and once as a request to explain the same tradeoff to a non-technical stakeholder in plain language. The engineering side asks about concurrency and distributed fundamentals, including an ad filtering task backed by a concurrent cache, which is the streaming-advertising business showing through the problem statement. Behavioural rounds circle one theme rather than several: aligning goals across cross-functional teams and influencing without authority, which fits a company where ad, content and device teams share a roadmap. Difficulty is flat, 13 of the 14 rated medium and none rated hard, so the bar is breadth rather than a single brilliant insight. Three questions open a runnable console, nine already have a written solution attached, and just over half the page, 57 percent, is readable without premium.
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