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Updated weekly · Last refresh Nov 6

ChampionX Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~31 min
XGBoost vs Physics SimulationHard

Tests judgment on hybrid modeling choices, assumptions, accuracy, and operational constraints.

Feature EngineeringBias-Variance TradeoffSupervised LearningChampionX
Predict Chemical Pump FailureHard

Tests feature engineering, time-series modeling, and practical failure prediction for industrial telemetry.

Feature EngineeringSupervised LearningTime SeriesChampionX
Optimize Chemical Treatment for ScaleHard

Tests applied ML/optimization thinking and how you translate model outputs into treatment decisions.

Feature EngineeringRegressionSupervised LearningChampionX
2
More topics2 questions · ~21 min
SQL Rolling 30-Day Average DosageMedium
Practice

Calculate each well's average chemical dosage over its trailing 30-day measurement window.

Window FunctionsDate FunctionsJoinsChampionX
Real-Time Telemetry PipelineHard

Tests streaming architecture, scalability, reliability, and data quality practices for global operations.

InfrastructureStream ProcessingETLChampionX

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window Trends in TelemetryMedium
Practice
Practice drill

Compare daily, weekly, and seven-day rolling autonomous vehicle mileage using PostgreSQL window functions.

Window FunctionsDate FunctionsJoinsMay Mobility
SQL Window Functions for TrendsMedium
Practice
Practice drill

Summarize daily Omada engagement and assign each patient's chronological engagement-day number.

Window FunctionsDate FunctionsJoinsOmada Health
The finish line: interview-readyComplete all 5 questions plus 2 hands-on drills to finish this plan.