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Updated weekly · Last refresh Oct 17

Roku Data Scientist Interview Questions

The questions to prepare for a Roku Data Scientist interview. Questions from real interview reports rank first. Updated daily.

42questions
~7htotal time
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1
SQL & Data ManipulationStart here. 11 questions · ~109 min
Average Channels Per AccountEasy
Practice

Calculate the average distinct channels streamed per Roku account in June 2020 using joins, a CTE, and aggregation.

aggregationsqlRoku
SQL for Streaming AnalyticsEasy
Practice

Aggregate Roku streaming minutes by month for Q2 2020, using a join, date filtering, and rounding.

aggregationsqlRoku
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2
Statistics & Probability5 questions · ~50 min
Interpreting P-Values for LaunchesEasy

Interpret a p-value correctly when deciding whether to launch a product change.

Hypothesis TestingStatistical SignificanceP-ValuesRoku
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3
A/B Testing & Experimentation6 questions · ~59 min
Primary vs Guardrail Metric ChoiceMedium

Choose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.

ExperimentationGuardrail MetricsA/B TestingRoku
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4
Metrics4 questions · ~40 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisRoku
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5
Machine Learning4 questions · ~40 min
Walk Through a Machine Learning ProjectMedium

Evaluates end-to-end ML problem framing, modeling choices, and outcome reporting.

project experienceRoku
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6
Behavioral & Leadership9 questions · ~89 min
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7
More topics3 questions · ~30 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueRoku
Evaluating Engagement Lift for RolloutMedium

Tests your statistical reasoning for deciding whether an experiment result warrants rollout.

Evaluation TechniquesLiftThreshold TuningRoku
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