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Prep plan
Updated weekly · Last refresh Aug 30

Lattice Data Scientist Interview Questions

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

36questions
~5htotal time
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1
Machine LearningStart here. 5 questions · ~41 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationLattice
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2
Model Evaluation3 questions · ~24 min
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallLattice
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3
Metrics4 questions · ~32 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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4
Product Sense4 questions · ~32 min
Prioritizing Conflicting Analytics RequestsMedium

Tests prioritization, alignment, and tradeoff reasoning under stakeholder disagreement.

Feature PrioritizationUser NeedsProduct VisionLattice
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5
SQL & Data Manipulation4 questions + 3 drills · ~62 min
SQL Problem Solving ExperienceMedium

Tests practical SQL skills and troubleshooting under real data constraints.

JoinsData WranglingCTEsLattice
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
Optimize Dashboard Revenue Join QueryHard
Practice
Practice drill

Optimize a multi-join dashboard query using CTEs and window functions to reduce repeated work.

JoinsData WranglingCTEsApptio
Join Customer Tickets and Error LogsHard
Practice
Practice drill

Use joins to correlate customer tickets with error logs and identify recurring issue patterns.

JoinsData WranglingCTEsAveva
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6
A/B Testing & Experimentation3 questions · ~24 min
Communicating Experiment ResultsMedium

Tests stakeholder communication and decision-making based on experimental evidence.

Guardrail MetricsCUPEDA/B TestingLattice
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7
More topics13 questions · ~105 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
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The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.