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Anadarko Petroleum Data Scientist Interview Questions

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

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1
Machine LearningStart here. 9 questions · ~73 min
Loss Functions and Outlier SensitivityMedium

Compare common classification and regression losses, and explain how outliers change optimization behavior and model fit.

Classificationloss functionsRegressionAnadarko Petroleum
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2
Behavioral & Leadership9 questions · ~73 min
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3
More topics9 questions · ~73 min
Define Metrics for a Customer TestHard

Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.

ExperimentationGuardrail MetricsA/B TestingAnadarko Petroleum
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueAnadarko Petroleum
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesAnadarko Petroleum
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 IndicatorsDiagnosisAnadarko Petroleum
SQL Window Functions RankingMedium

Tests SQL mastery with window functions for analytics-style computations.

Window FunctionsRankingRunning TotalsAnadarko Petroleum
Parse Logs for Error MetricsMedium

Tests ability to build reliable data parsing scripts for operational signals.

log parsingAutomationdata validationAnadarko Petroleum
Linux Data WorkflowsMedium

Tests practical tooling and operational readiness for data workflows.

linux tuningprocesstechnical experienceAnadarko Petroleum
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Cleaning Messy DatasetsMedium
Practice
Practice drill

Clean, validate, and deduplicate customer records while preserving unmatched accounts.

missing valuesdata preprocessingdata cleaningNatWest
Automate with Your Programming LanguageMedium
Practice
Practice drill

Count Citi workflow task types with more than one exception and show the latest review date.

Data ManipulationAutomationtechnical experienceCiti
Troubleshooting Data Integration IssuesMedium
Practice
Practice drill

Reconcile records from two systems and classify missing records, amount differences, and status discrepancies.

data integrationnull handlingJoinsAutodesk
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