Brandwatch Data Scientist Interview Questions
The questions to prepare for a Brandwatch Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.
Use PostgreSQL window functions to calculate monthly running claim totals and twelve-month moving averages for CNA policy claims.
CNACalculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
AArete
MITRE
GlassdoorDefine a framework to measure whether a new observability dashboard feature is delivering real value and sustained adoption.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Determine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Decide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.
Assesses metric design for measuring user engagement on Brandwatch.