Accenture Technology Data Scientist Interview Questions
The questions to prepare for a Accenture Technology Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Select primary, secondary, and guardrail metrics, then connect them to MDE, power, and the ship decision.
Decide whether to act on an A/B result that trends positive but is not statistically conclusive.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests conflict resolution and influence without authority when you disagree on project direction.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Approach for choosing launch success metrics, including a north star, leading indicators, and clear success criteria.
Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.
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Calculate each user's seven-day rolling average of daily events using PostgreSQL window functions.
BounteousQQuanata
Perplexity AICalculate monthly cohort retention using date-based cohorts, aggregation, and window functions.
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