TotalEnergies Data Scientist Interview Questions
The questions to prepare for a TotalEnergies Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Approach for maintaining data quality and integrity across ETL pipelines.
TotalEnergiesExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Design a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.
TotalEnergiesIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
TotalEnergiesExplain how CTEs split a complex reporting query into readable, reusable steps.
TotalEnergiesAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Benjamin Moore
Commonwealth Bank of Australia
Abercrombie and FitchRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Quantcast
ReplitDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
TotalEnergiesExplain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.
TotalEnergiesExplain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
TotalEnergies