Blue River Technology Data Scientist Interview Questions
The questions to prepare for a Blue River Technology Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use a PostgreSQL window function to calculate inclusive 30-day rolling sensor averages for active WSP monitoring assets.
Explain how statistical significance differs from practical significance and how both affect an A/B test decision.
Explain how to establish statistical significance in A/B tests using hypotheses, power, confidence intervals, and safeguards against false positives.
Discuss a machine learning project you have worked on and the challenges you faced.
Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.
Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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