Top 12
Prep plan
Updated weekly · Last refresh Nov 6
T

THG Data Scientist Interview Questions

The questions to prepare for a THG Data Scientist interview. Questions from real interview reports rank first. Updated daily.

12questions
~2htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~41 min
Top Categories Over TimeMedium
Practice

Rank top product categories by revenue and units sold during a defined reporting period.

Date FunctionsJoinssql queryTTHG
Rolling Average with Window FunctionsMedium
Practice

Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.

Date FunctionsData ManipulationAggregationsTTHG
Explain SQL Join TypesEasy

Explain INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINs with examples and when to use each.

JoinsData WranglingGroup ByTTHG
Top Personal Shoppers by PerformanceMedium
Practice
Practice drill

Rank personal shoppers by average delivery speed and customer rating using joined transactional data and a ranking calculation.

Date FunctionsJoinssql queryInstacart
2
Behavioral & Leadership4 questions · ~41 min
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3
More topics5 questions · ~52 min
Campaign Effectiveness StatisticsHard

Select statistical methods to estimate marketing lift, test significance, quantify uncertainty, and distinguish correlation from causal campaign impact.

Hypothesis TestingCausal Inferencemarketing experimentTTHG
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementTTHG
Compute A/B Test Sample SizeHard

Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.

experiment designMDEStatistical SignificanceTTHG
Balance Conversion and RetentionHard

Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.

Feature PrioritizationUser NeedsValue PropositionTTHG
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 MismatchTTHG

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