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Updated weekly · Last refresh Sep 20
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SCOR Data Scientist Interview Questions

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

18questions
~3htotal time
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1
Statistics & ProbabilityStart here. 4 questions · ~36 min
Explaining P Values ClearlyEasy

Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.

CommunicationStatistical SignificanceP-ValuesSSCOR
Choosing Statistical DistributionsMedium

Tests understanding of probability distributions and appropriate use cases.

SSCOR
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2
Machine Learning3 questions · ~27 min
Selecting Models for Business ProblemsMedium

Assesses model selection criteria balancing performance, constraints, and business needs.

model selectionbusiness problemSSCOR
Post-Deployment Model MonitoringMedium

Tests operational ML practices for monitoring, drift detection, and maintenance.

deploymentSSCOR
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3
Product Sense3 questions · ~27 min
Diagnosing Product Metric DropsMedium

Assesses structured root-cause analysis for product metric anomalies at SCOR.

product metricsroot cause analysisSSCOR
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4
Behavioral & Leadership4 questions · ~36 min
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5
More topics4 questions · ~36 min
SQL Window Functions Rolling AverageMedium
Practice

Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.

Window FunctionssqlSSCOR
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 MismatchSSCOR
Handling Missing and Skewed DataMedium

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData WranglingSSCOR
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
Handling Missing Data in DashboardsMedium
Practice
Practice drill

Classify missing or corrupted dashboard metrics and expose only validated values for executive reporting.

missing valuesData Qualitydata accuracySoFi
The finish line: interview-readyComplete all 18 questions plus 2 hands-on drills to finish this plan.