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Octopus Energy Data Scientist Interview Questions

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

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1
Behavioral & LeadershipStart here. 3 questions · ~29 min
Resolving Methodology DisagreementMedium

Tests conflict resolution in an analytical setting, especially how you use data, communication, and consensus-building to resolve methodology disputes.

Conflict ResolutionteamworkmethodologyOOctopus Energy
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2
More topics7 questions · ~67 min
Write Rolling Average SQLMedium
Practice

Calculate each customer's 7-day rolling average energy usage using daily aggregation and a PostgreSQL window frame.

Window FunctionsDate FunctionsRunning TotalsOOctopus Energy
Explaining Statistical SignificanceMedium

Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.

Hypothesis TestingCommunicationStatistical SignificanceOOctopus Energy
Balance Short-Term and Long-Term ValueHard

Explain how to optimize near-term product outcomes without sacrificing long-term user trust, retention, and value.

product metricsTrade-offsFeature PrioritizationOOctopus Energy
Diagnosing a Sudden Metric DropHard

Diagnose a sudden 20% KPI decline by validating measurement, decomposing drivers, and separating real behavior changes from data issues.

analyticsKPIdiagnostic processOOctopus Energy
Compute A/B Test Sample SizeHard

Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.

experiment designMDEStatistical SignificanceOOctopus Energy
Handling Missing and Skewed DataMedium

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData WranglingOOctopus Energy
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchOOctopus Energy

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 10 questions plus 2 hands-on drills to finish this plan.