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Prep plan
Updated weekly · Last refresh Oct 17

Basis Technologies Data Scientist Interview Questions

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

29questions
~4htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~37 min
2
A/B Testing & Experimentation5 questions · ~45 min
3
Model Evaluation3 questions · ~27 min
Explain Precision Recall TradeoffEasy

Explain precision versus recall in plain language and how the tradeoff affects product decisions.

PrecisionThreshold TuningRecallBasis Technologies
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4
Machine Learning4 questions · ~36 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationBasis Technologies
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5
Behavioral & Leadership6 questions · ~54 min
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6
More topics8 questions · ~72 min
Translate Pain Points Into PrioritiesMedium

How to turn customer pain points into engineering priorities with clear trade-offs and impact.

Feature PrioritizationUser NeedsPain PointsBasis Technologies
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesBasis Technologies
Using Dashboards to Read KPIsEasy

Explain how visualization tools help analysts track KPIs, spot patterns, and support decisions.

KPIsData WranglingDiagnosisBasis Technologies
Choosing Python Data StructuresEasy

Assesses practical Python knowledge for choosing efficient data structures.

CommunicationOwnershipDealing With AmbiguityBasis Technologies
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The finish line: interview-readyComplete all 29 questions plus 1 hands-on drill to finish this plan.