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Updated weekly · Last refresh Oct 17

Grvty Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Product SenseStart here. 4 questions · ~33 min
Measure New Dashboard Feature SuccessMedium

Define a framework to measure whether a new observability dashboard feature is delivering real value and sustained adoption.

Feature PrioritizationUser NeedsProduct VisionGrvty
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2
Machine Learning5 questions · ~42 min
Handle Highly Imbalanced ClassificationMedium

Build a classifier for a rare-event problem and choose metrics and training tactics that work when positives are scarce.

Cross-ValidationFeature EngineeringSupervised LearningGrvty
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3
Pipelines3 questions · ~25 min
Versioning Datasets and ModelsMedium

Best practices for reproducible dataset and model versioning in shared ML pipelines.

Data QualityToolsAutomationGrvty
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4
Statistics & Probability9 questions · ~75 min
Determining A/B Test SignificanceMedium

Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.

marketing experimentStatistical SignificanceAnalysisGrvty
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5
A/B Testing & Experimentation10 questions · ~83 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingGrvty
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6
NLP5 questions · ~42 min
Rule-Based vs Subword TokenizationMedium

Tests your understanding of tokenization tradeoffs and when to choose approaches for downstream quality.

Language ModelsTokenizationGrvty
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7
More topics14 questions · ~116 min
SQL Rolling Average and RankingHard
Practice

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsGrvty
Explain Precision Recall TradeoffEasy

Explain precision versus recall in plain language and how the tradeoff affects product decisions.

PrecisionThreshold TuningRecallGrvty
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Deduplicate Latest RecordsMedium
Practice
Practice drill

Keep the latest non-null record for each user ID while resolving duplicate timestamps deterministically.

Window Functionsdeduplicationdata cleaningSnowflake
Rolling Transaction SQL and RankingHard
Practice
Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeAANT SolutionRakuten
The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.