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Updated weekly · Last refresh Aug 30

HERE Technologies Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~53 min
2
System Design5 questions · ~42 min
3
Pipelines3 questions · ~25 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHERE Technologies
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4
A/B Testing & Experimentation3 questions · ~25 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 TestingHERE Technologies
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5
Machine Learning12 questions · ~100 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffHERE Technologies
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6
Statistics & Probability5 questions · ~42 min
Statistical Significance in Business DecisionsEasy

Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.

Hypothesis TestingStatistical SignificanceP-ValuesHERE Technologies
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7
More topics18 questions · ~150 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisHERE Technologies
Resume Projects, Metrics, and SGDMedium

Assesses your ability to connect resume work to evaluation metrics and core ML optimization concepts.

evaluation metricsHERE Technologies
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.