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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 daily.

25questions
~3htotal 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
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2
Statistics & Probability5 questions · ~40 min
Significance With Multiple TestingHard

Assesses your ability to control error rates with variable readouts and multiple testing.

Statistical SignificanceCalico Life Sciences
Multiple Testing for Compound ScreeningHard

Evaluates your methods for controlling false discoveries in large-scale compound screening.

Calico Life Sciences
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3
A/B Testing & Experimentation3 questions · ~24 min
A/B Test for Algorithm FeatureMedium

Evaluates experimental design choices for validating algorithm changes in a production analysis pipeline.

Calico Life Sciences
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4
Product Sense3 questions · ~24 min
Core Metrics for Internal Data PortalMedium

Assesses your product thinking for defining metrics that reflect adoption and value for biology teams.

product metricsCalico Life Sciences
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5
Behavioral & Leadership8 questions · ~64 min
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6
More topics3 questions · ~24 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
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Top 10% Creators by EngagementMedium
Practice
Practice drill

Write a SQL query to identify the top 10% of creators based on engagement metrics over the last 30 days. Use the provided creators and creatorengagements ...

Date Functionssql queryData AnalysisTikTok
Root Cause of Spike in DC Cycle TimesMedium
Practice
Practice drill

Compare spike-day and baseline cycle times to identify distribution center process steps driving the increase.

root cause analysisJoinsData AnalysisApple
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlEEvalueserveSShyena Tech YarnsAATB Financial
The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.