Ekimetrics Data Scientist Interview Questions
The questions to prepare for a Ekimetrics Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.
Combine daily sales, channel spend, and calendar data into a complete model-ready dataset.
Explain a practical approach for handling missing values and noisy observations in a supervised learning dataset.
Explain why an observed marketing relationship can be correlated without being causal, and how you would validate a true causal effect.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Design a north-star metric and measurement plan to determine whether a company's loyalty program creates sustained customer and business value.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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