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Prep plan
Updated weekly · Last refresh Aug 30

XANT Research Scientist Interview Questions

The questions to prepare for a XANT Research Scientist interview. Questions from real interview reports rank first. Updated weekly.

29questions
~5htotal time
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1
CodingStart here. 4 questions · ~39 min
Find Two Sum IndicesEasy
Practice

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysSortingXANT
Graph Traversal with BFS and DFSEasy
Practice

Traverse a graph from a start node using BFS and DFS, returning the visit order for each traversal.

StackQueueGraphsXANT
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2
Model Evaluation3 questions · ~29 min
Evaluate Overfitting vs UnderfittingMedium

Explain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.

Cross-ValidationBias-Variance TradeoffAccuracyXANT
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3
System Design4 questions · ~39 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingXANT
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4
Generative AI & LLMs3 questions · ~29 min
Prompt for Reliable Field ExtractionMedium

Design a prompt for structured extraction that improves schema adherence, reduces invented values, and is easy to evaluate.

HallucinationStructured ExtractionPrompt EngineeringXANT
Reduce Hallucinations in LLM AnswersEasy

Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.

HallucinationPrompt EngineeringRAGXANT
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5
Statistics & Probability3 questions · ~29 min
Testing Sales Algorithm LiftMedium

Tests your experimental design and statistical evaluation of algorithmic improvements.

Statistical SignificancePower AnalysisA/B TestingXANT
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6
Behavioral & Leadership10 questions · ~98 min
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7
More topics2 questions · ~20 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 TradeoffXANT
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The finish line: interview-readyComplete all 29 questions to finish this plan.