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Updated weekly · Last refresh Oct 17

S&P Global Energy Data Scientist Interview Questions

The questions to prepare for a S&P Global Energy Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
Machine LearningStart here. 10 questions · ~80 min
Preprocess Noisy Sensor DataEasy
Recently asked

Clean noisy time-stamped sensor data by handling missing values, outliers, drift, and derived features before model training.

data preprocessingFeature Engineeringsensor dataS&P Global Energy
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2
Behavioral & Leadership4 questions · ~32 min
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3
More topics10 questions · ~80 min
Design Test for New FeatureMedium
Recently asked

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingS&P Global Energy
First Checks for Metric DropsEasy
Recently asked

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisS&P Global Energy
Correlation Methods for RankingMedium
Recently asked

Evaluates your statistical reasoning about correlation choices and their impact on ranking.

CorrelationRankingS&P Global Energy
Backtesting an Energy Asset Factor ModelHard
Recently asked

Assesses your system design for factor modeling and rigorous backtesting methodology.

S&P Global Energy
Validating Against Market VolatilityMedium
Recently asked

Evaluates your model validation strategy under shifting market conditions.

performance evaluationmodel validationS&P Global Energy
Window Functions for EngagementMedium
Recently asked

Tests your SQL window function skills for time-based analytics.

Window Functionssqluser engagementS&P Global Energy
Translating Business to DSMedium
Recently asked

Evaluates your product sense and ability to turn business needs into measurable DS work.

project experiencebusiness problemS&P Global Energy
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Second Highest Trader SalaryEasy
Practice
Practice drill

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingeClinicalWorksNNeenOpal CanadaInformatica
Database Tables and MedianMedium
Practice
Practice drill

Calculate each department's median historical salary using joins and PostgreSQL percentile aggregation.

aggregationJoinsCTEsS&P Global Energy
Optimize a Slow SQL QueryHard
Practice
Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData WranglingAmeripriseEEltro Cyberchrome PrivateEnergyHub
The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.