The Cigna Group Data Scientist Interview Questions
The questions to prepare for a The Cigna Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how decision trees split data, make predictions, and trade interpretability against overfitting.
The Cigna GroupExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
The Cigna GroupTests data quality handling and correct treatment of missingness.
The Cigna GroupRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastExplain common machine learning evaluation metrics and when each is useful.
The Cigna GroupExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
The Cigna GroupTests your ability to select relevant retention drivers and justify the analytics plan.
The Cigna GroupTests your strategy for building reliable models and insights under data scarcity.
The Cigna GroupTests your model evaluation methodology, metrics selection, and trade-off reasoning.
The Cigna GroupSign up to see every question
Create a free account to unlock this list and practice real interview questions.