PRGX Global Data Scientist Interview Questions
The questions to prepare for a PRGX Global Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how regression and classification differ, including target type, outputs, and how you evaluate each.
PRGX GlobalExplain how to reduce overfitting using regularization, validation, and model selection.
PRGX GlobalHow to validate that a model will generalize to unseen data using holdouts, cross-validation, and calibration checks.
PRGX GlobalExplain what drives your interest in data engineering, grounded in user needs and the value created by reliable data systems.
PRGX GlobalExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
PRGX GlobalTests query optimization skills and practical understanding of data access patterns.
PRGX GlobalTests exploratory analysis, metric thinking, and translating findings into business actions.
PRGX GlobalEvaluates your understanding of LLM fine-tuning and practical experience applying it.
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Compute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.
Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIAggregate January 2024 campaign data by channel using GROUP BY, filtering, and ordering by total clicks.
DNV
Eversana
Discord