eClerx Data Scientist Interview Questions
The questions to prepare for a eClerx Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Find the five active assets with the highest average return using aggregation, a CTE, and a join.
Use layered CTEs and window functions to rank assets by return from valid price observations.
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Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Tests prioritization, experimentation mindset, and understanding of conversion drivers.
Tests understanding of inference and practical application in analytics and experiments.
A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.
Tests understanding of model evaluation signals for overfitting.