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Dataford
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Prep plan
Updated weekly · Last refresh Oct 17

Arm Data Scientist Interview Questions

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

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~4htotal time
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1
Machine LearningStart here. 8 questions · ~69 min
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningArm
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2
Behavioral & Leadership10 questions · ~86 min
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3
More topics10 questions · ~86 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceArm
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingArm
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 IndicatorsDiagnosisArm
System Design for Data ProductsHard

Evaluates system design thinking for scalable data solutions at Arm.

system designArm
Rolling 7-Day SQL WindowMedium
Practice

Calculate calendar-based rolling 7-day averages for each product or user from daily metric observations.

Window FunctionsDate FunctionsData ManipulationArm
Regression Metrics for PerformanceMedium

Tests metric selection aligned to processor performance prediction goals.

Evaluation TechniquesRegressionModel MetricsArm
Pass-by-Value vs ReferenceEasy

Tests fundamentals of C++ parameter passing and appropriate usage decisions.

Communicationtechnicaltechnical depthArm
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
7-Day Rolling User Average in SQLMedium
Practice
Practice drill

Calculate each user's seven-day rolling average of daily events using PostgreSQL window functions.

Window FunctionsDate FunctionsData ManipulationBounteousFFreelancerBBoston Tech India
Consecutive Activity Days QueryMedium
Practice
Practice drill

Identify each user's consecutive website activity streaks using date arithmetic and SQL window functions.

Window FunctionsDate FunctionsData ManipulationIntuit Management ConsultancyChewySuperhuman
The finish line: interview-readyComplete all 28 questions plus 2 hands-on drills to finish this plan.