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Calico Life Sciences Data Scientist Interview Questions

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

12questions
~2htotal time
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1
Machine LearningStart here. 3 questions · ~24 min
Vectorizing R CodeMedium

Tests ability to optimize data workflows and write efficient R for analysis.

vectorizationCalico Life Sciences
PCA ExplanationMedium

Assesses understanding of dimensionality reduction and its practical implementation.

Calico Life Sciences
Stochastic Modeling and HMMsMedium

Evaluates modeling depth for time-dependent and latent-state problems.

Calico Life Sciences
2
Behavioral & Leadership5 questions · ~40 min
Strength and Growth AreaEasy

Tests self-awareness, ownership, and growth mindset through specific examples of a professional strength and an actively managed weakness.

self assessmentfeedbackstrengthsCalico Life Sciences
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3
More topics4 questions · ~32 min
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsCalico Life Sciences
K-Neighbor Numbers in Sorted ListHard

Evaluates algorithmic thinking and boundary handling for efficient data retrieval.

CodingCalico Life Sciences
Strengths, Weaknesses, and StatsHard

Tests breadth across self-assessment, R performance, and statistical problem solving.

strengthsweaknessesCalico Life Sciences
Approach Specific Statistical ProblemsMedium

Assesses problem-solving strategy for statistical analysis and inference.

Calico Life Sciences

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
7-Day Rider Retention in NYCHard
Practice
Practice drill

Compute 7-day NYC rider retention by signup cohort using joins, CTEs, date filters, and distinct retained-user aggregation.

Window FunctionsRetentionRunning TotalsUberAsana
SQL Month-Over-Month RetentionMedium
Practice
Practice drill

Calculate monthly active-user retention for Unity Ads using CTEs, joins, date truncation, and conditional aggregation.

Window FunctionsRetentiontransactionsUnityDoorDashAutodesk
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.