Dataford
Top 43
Prep plan
Updated weekly · Last refresh Aug 30

MP DATA Data Scientist Interview Questions

The questions to prepare for a MP DATA Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

43questions
~6htotal time
Track your progressSign up free to work through all 43 questions and resume where you left off.
Start practicing free →
1
PipelinesStart here. 4 questions · ~32 min
CI CD for Data PipelinesMedium

Set up CI CD and automated testing for data pipelines so changes ship faster with fewer production issues.

ToolsOrchestrationQualityMP DATA
More Pipelines questions with a free account
2
Machine Learning17 questions · ~138 min
Choosing Interpretable vs Black-Box ModelsMedium

Explain how to choose between a simpler interpretable model and a more accurate black-box model.

Cross-ValidationBias-Variance TradeoffSupervised LearningMP DATA
More Machine Learning questions with a free account
3
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Effective Joins in Data TransformationsEasy

Explain how to choose join types, handle NULLs, and avoid duplication when using joins in complex SQL transformations.

SubqueriesJoinsData WranglingMP DATA
SQL Missing Marks RuleEasy
Practice
Practice drill

Use GROUP BY and HAVING to exclude students missing marks in two or more subjects.

data cleaningsqlPayPal
Find Duplicate Sessions in ClickstreamMedium
Practice
Practice drill

Identify likely duplicate ScienceDirect sessions using a self-join and conditional aggregation.

data cleaningSelf-JoinssqlElsevier
Advanced SQL With PartitionsHard
Practice
Practice drill

Use CTEs, aggregations, and window functions to compare gender pay and find each department's second-highest salary.

Window FunctionsJoinssqlMeesho
More SQL & Data Manipulation questions with a free account
4
Behavioral & Leadership11 questions · ~89 min
More Behavioral & Leadership questions with a free account
5
More topics8 questions · ~65 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueMP DATA
Design Feature Success MetricsMedium

Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.

North Star MetricKPIsGuardrail MetricsMP DATA
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceMP DATA
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingMP DATA
ROC Curve InterpretationMedium

Tests your ability to evaluate classifiers under class imbalance.

Class ImbalanceMP DATA
More questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
The finish line: interview-readyComplete all 43 questions plus 3 hands-on drills to finish this plan.