TotalEnergies Data Scientist Interview Questions
The questions to prepare for a TotalEnergies Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design a machine learning system to predict equipment failures before they happen using sensor, event, and maintenance data.
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Explain how CTEs split a complex reporting query into readable, reusable steps.
TotalEnergiesCalculate average energy consumption for each known TotalEnergies region.
TotalEnergiesAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreIdentify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.
American Credit AcceptanceChoose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.
TotalEnergiesDesign a real-time pipeline for sensor events that transforms data and feeds a UI with low latency.
TotalEnergiesExplain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
TotalEnergiesExplain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.
TotalEnergiesDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
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