Dataford
Dataford
Top 32
Prep plan
Updated weekly · Last refresh Oct 17

Hewlett Packard Enterprise Development Data Scientist Interview Questions

The questions to prepare for a Hewlett Packard Enterprise Development Data Scientist interview. Questions from real interview reports rank first. Updated daily.

32questions
~4htotal time
Track your progressSign up free to work through all 32 questions and resume where you left off.
Start practicing free →
1
Machine LearningStart here. 7 questions · ~57 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 LearningHewlett Packard Enterprise Development
More Machine Learning questions with a free account
2
SQL & Data Manipulation4 questions + 3 drills · ~63 min
Reverse Number CodingEasy

Tests basic programming and correct handling of edge cases in numeric manipulation.

CodingBasic AlgorithmsHewlett Packard Enterprise Development
Second Highest Value in SQLEasy
Practice
Practice drill

Find the second highest distinct CRP value from completed trials using a join and DENSE_RANK window function.

aggregationsql queriesIQVIASmartsheetEnova International
DBMS and Data ManipulationMedium
Practice
Practice drill

Model related policy and claim data, then summarize approved claims while preserving policyholders without claims.

Joinssqldatabase designSun Life Financial
Top 5 Users Per CategoryMedium
Practice
Practice drill

Identify the five most active users in each category using aggregation and row numbering.

JoinsRankingData AnalysisEEulidiaAAnheuser-Busch InBevAArete
More SQL & Data Manipulation questions with a free account
3
Behavioral & Leadership9 questions · ~73 min
More Behavioral & Leadership questions with a free account
4
More topics12 questions · ~98 min
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 TestingHewlett Packard Enterprise Development
Interpreting Significance in ExperimentsMedium

Explain statistical significance in experiments and how p-values and confidence intervals guide interpretation.

Confidence IntervalsStatistical SignificanceP-ValuesHewlett Packard Enterprise Development
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisHewlett Packard Enterprise Development
Selecting Among Candidate ModelsMedium

Tests model selection strategy, validation rigor, and decision-making under competition.

Cross-ValidationEvaluation TechniquesModel MetricsHewlett Packard Enterprise Development
OOP and Inheritance in PythonEasy

Tests OOP knowledge and practical Python implementation skills.

Communicationtechnical experiencepythonHewlett Packard Enterprise Development
Predictive Maintenance for ServersHard

Tests system thinking for predictive modeling, feature design, and operational impact.

Feature StoreModel ServingHewlett Packard Enterprise Development
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 32 questions plus 3 hands-on drills to finish this plan.