Qantas Data Scientist Interview Questions
The questions to prepare for a Qantas Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate the monthly spending trends for customers using window functions and joins.
QantasUse window functions to compare each customer's monthly activity against prior months and identify behavior changes.
QantasAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCompare TF-IDF and word embeddings for text classification, and choose the right representation for the data and task.
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Explain accuracy, precision, recall, and F1 score to a non-technical stakeholder.
QantasExplain why correlated customer behaviors do not by themselves prove a causal effect, and how you would tell the difference.
QantasChoose hyperparameters for a supervised model using cross-validation and regularization tradeoffs.
QantasA framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
QantasCompare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.
QantasExplain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.
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