Niantic Data Scientist Interview Questions
The questions to prepare for a Niantic Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use unsupervised learning to discover meaningful user segments from mixed behavioral data.
NianticReason about sample size, power, and minimum detectable effect before launching an experiment.
NianticDefine a success metric for a new feature that captures real user value, not just raw usage.
NianticInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
NianticTests your SQL proficiency for ranking logic, retention calculations, and multi-table joins.
NianticTests SQL join reasoning and your ability to compute retention metrics correctly.
NianticCalculate daily campaign conversion rates with conditional aggregation, a CTE, and a campaign dimension join.
Niantic
Braze
OutschoolAggregate Netflix campaign performance and rank campaigns by ROI within each region using a CTE and RANK().
Niantic
NetflixCalculate three-row moving averages with SQL window frames after aggregating order data by seller and date.
ShopeeCComscoreChoose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.
NianticIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
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