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Prep plan
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LendingTree Data Scientist Interview Questions

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

Prevent Overfitting in ML Models
Easy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularization
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Measure Marketing Campaign Success
Easy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading Indicators
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A/B Testing for Product Features
Medium

Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.

Hypothesis TestingStatistical SignificanceA/B Testing
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Recommend Improvements from Customer Data
Medium

Use customer data to identify the highest-impact product improvements and decide what to build first.

Feature PrioritizationUser NeedsValue Proposition
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Improve User Retention Approach
Hard

Tests retention problem framing, hypothesis building, and measurement strategy.

Feature PrioritizationUser NeedsRetention
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Join and Filter Tables in SQL
Easy

Tests SQL join logic and correct filtering to produce the desired dataset.

JoinsData WranglingCase When
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