Ebiquity Data Scientist Interview Questions
The questions to prepare for a Ebiquity Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design a defensible NPCI user engagement metric that captures meaningful usage, repeat behavior, and product value.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Assesses ownership, adaptability, prioritization, and stakeholder management when a data project encounters unexpected obstacles.
Calculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Calculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.
Tredence
Echostar
Eliassen GroupCalculate user revenue running totals and daily rankings using PostgreSQL window functions.
CertiK