ENGIE Data Scientist Interview Questions
The questions to prepare for a ENGIE Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use a CTE and window functions to rank active wells and calculate cumulative oil production within each basin.
ENGIERank 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.
Replit
QuantcastExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
ENGIEDesign an experiment to tell whether a new feature improves true retention, not just short-term usage.
ENGIEUse a two-proportion z-test and a 95% confidence interval to decide how to communicate a checkout A/B test result to product and executive audiences.
ENGIEPick a primary launch metric and guardrails that capture feature value without missing harmful side effects.
ENGIEExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
ENGIEDesign a production ranking service that balances model accuracy with latency and throughput under large-scale traffic.
ENGIE