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Updated weekly · Last refresh Aug 30

Brigham Young University (BYU) Data Scientist Interview Questions

The questions to prepare for a Brigham Young University (BYU) Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

19questions
~3htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~32 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchBrigham Young University (BYU)
Designing A/B Tests for AdoptionMedium

Tests experimental design and ability to measure causal impact on user adoption.

experiment designBrigham Young University (BYU)
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2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Handling Missing and Skewed DataMedium

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData WranglingBrigham Young University (BYU)
Moving Averages with SQL Window FunctionsMedium

Evaluates SQL window function proficiency for time-based engagement analytics.

Data AnalysisBrigham Young University (BYU)
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
Top Users by Region QueryMedium
Practice
Practice drill

Rank the top 10 ResMed myAir users in each region using joins, aggregation, and ROW_NUMBER().

Data AnalysissqlResmed
Running Totals and Moving AveragesMedium
Practice
Practice drill

Use PostgreSQL window functions to calculate monthly running claim totals and twelve-month moving averages for CNA policy claims.

Window FunctionsData AnalysissqlCNA
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3
Metrics3 questions · ~24 min
Diagnosing a Sudden Metric DropMedium

Evaluates troubleshooting methodology for production-like metric anomalies.

Data AnalysisDiagnosisBrigham Young University (BYU)
Balancing Quantitative and Qualitative InputMedium

Assesses judgment for integrating metrics and stakeholder insights into data-driven decisions.

stakeholder communicationBrigham Young University (BYU)
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4
Behavioral & Leadership6 questions · ~48 min
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5
More topics3 questions · ~24 min
Validating Data Analysis ResultsMedium

Assesses statistical validation practices and rigor to ensure trustworthy analysis.

data validationBrigham Young University (BYU)
Product Metrics for a Campus ToolMedium

Evaluates ability to define measurable success metrics for a university digital product.

product metricsBrigham Young University (BYU)
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The finish line: interview-readyComplete all 19 questions plus 3 hands-on drills to finish this plan.