Niantic Data Scientist Interview Questions
The questions to prepare for a Niantic Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Reason about sample size, power, and minimum detectable effect before launching an experiment.
NianticTests statistical reasoning for A/B results and controlling false positives in retention metrics.
NianticInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
NianticUse unsupervised learning to discover meaningful user segments from mixed behavioral data.
NianticDefine a success metric for a new feature that captures real user value, not just raw usage.
NianticTests SQL proficiency for extracting, transforming, and validating data used in analytics or ML.
NianticAggregate Netflix campaign performance and rank campaigns by ROI within each region using a CTE and RANK().
Niantic
NetflixCalculate daily campaign conversion rates with conditional aggregation, a CTE, and a campaign dimension join.
Niantic
Braze
OutschoolAnalyze weekly service delivery performance by team using joins, a CTE, date aggregation, and KPI calculations.
Deloitte
ReputationIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
NianticChoose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.
NianticSign up to see every question
Create a free account to unlock this list and practice real interview questions.