MNJ Software Data Scientist Interview Questions
The questions to prepare for a MNJ Software Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests data-driven conflict resolution, stakeholder influence, and ownership of decisions when interpreting product evidence.
Use data to compare two product initiatives, quantify trade-offs, and recommend which to pursue first.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Explain how to diagnose inconclusive results, assess power and MDE, and decide whether to iterate, extend, or stop.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Calculate each user's seven-day rolling average of daily events using PostgreSQL window functions.
BounteousQQuanata
Perplexity AICalculate each user's daily and cumulative Reddit comment count, including dates with no activity.
Reddit