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AbCellera Data Scientist Interview Questions

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

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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 MismatchAAbCellera
Experiment Metric PitfallsMedium

Evaluates experience avoiding common errors in experimental metric design.

AAbCellera
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2
Behavioral & Leadership3 questions · ~24 min
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3
More topics7 questions · ~56 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityAAbCellera
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsAAbCellera
Speed vs Accuracy Trade-offsMedium

Assesses decision-making for balancing latency and correctness in product analytics.

Trade-offsAAbCellera
Explain Power AnalysisMedium

Evaluates ability to communicate statistical concepts clearly to non-technical audiences.

Power AnalysisAAbCellera
High-Throughput Process MetricsMedium

Tests ability to define success metrics for AbCellera’s high-throughput screening workflows.

AAbCellera
Significance With Small SamplesMedium

Assesses statistical reasoning for inference under limited data.

Statistical SignificanceAAbCellera
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Reproducible Analysis for ReviewMedium
Practice
Practice drill

Identify the latest reproducible analysis runs and summarize their review history with PostgreSQL joins, aggregation, and a CTE.

Data WranglingCTEsdata validationHelloFreshBooking
Handle Dataset DuplicatesMedium
Practice
Practice drill

Identify repeated Epsilon event records by business-key values and report duplicate and removable row counts.

data cleaningData WranglingCase WhenEpsilon
Handling 30% Missing Critical DataMedium
Practice
Practice drill

Audit critical-field completeness by application source and report missing-entry percentages.

missing valuesdata accuracyData WranglingAmerican Credit Acceptance
The finish line: interview-readyComplete all 14 questions plus 3 hands-on drills to finish this plan.