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Updated weekly · Last refresh Oct 17

Lattice Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~54 min
Window Functions for Rolling AveragesHard
Practice

Calculate 7-day rolling usage averages and rank Dell APEX users within each signup cohort.

Window FunctionsRankingRunning TotalsLattice
Top Users by EngagementMedium
Practice
Practice drill

Rank Dayforce users by quarterly engagement and return the top 10% using aggregation and NTILE().

sql queryEngagement MetricsDayforceLatticeCondé Nast
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2
Model Evaluation3 questions · ~26 min
Diagnose Underperforming ModelMedium

Diagnose why a model is underperforming and decide whether the issue is thresholding, class balance, or a deeper data problem.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffLattice
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3
Machine Learning5 questions · ~44 min
Purpose of Cross-ValidationMedium

Explain why cross-validation is used to estimate generalization and support model selection and tuning.

Cross-ValidationModel EvaluationSupervised LearningLattice
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4
Metrics4 questions · ~35 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisLattice
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5
A/B Testing & Experimentation3 questions · ~26 min
Pitfalls in A/B TestingMedium

Tests ability to recognize and mitigate threats to validity in product experiments.

PeekingNovelty EffectSample Ratio MismatchLattice
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6
Product Sense3 questions · ~26 min
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7
More topics13 questions · ~114 min
Testing Engagement Change for NoiseMedium

Decide whether a change in user engagement is statistically real using hypothesis testing and confidence intervals.

Confidence IntervalsHypothesis TestingStatistical SignificanceLattice
End-to-End Attrition ML SystemHard

Tests system design for ML lifecycle including data pipelines, deployment, and monitoring.

Feature StoreFeature DriftModel ServingLattice
Time and Space ComplexityEasy

Tests understanding of algorithm efficiency and resource tradeoffs.

CommunicationOwnershipDealing With AmbiguityLattice
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The finish line: interview-readyComplete all 36 questions plus 1 hands-on drill to finish this plan.