CVS Health Data Scientist Machine Learning Interview Questions
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Explain Causal-Inference Techniques in Your Machine Learning Project
Technical Deep-Dive: ML Project With Causal Inference Prompt Walk me through one machine-learning project you led and explain any causal-inference tec...
Build a leak-free sklearn churn pipeline
Take‑Home ML Task: Reproducible Subscription Classification Pipeline You are given a daily user-level dataset and must build a reproducible Python (sc...
Handle challenges in MMM/MMX
MMM Fragility Diagnosis and Remediation Plan (Weekly, 156 Weeks) Context You inherit a weekly Marketing Mix Model (MMM/MMX) with 156 weeks of data. Th...
Design classification under missingness and imbalance
30-Day Readmission Classifier: End-to-End Plan Context: You are building a binary classifier to predict 30-day readmission using claims and EHR featur...
Tune classifier and compute key metrics
Payment Error Classifier — Evaluation, Thresholding, and Cost-Sensitive Design Context You built a binary classifier to flag incorrect payments (posit...
Build an uplift model for targeting
Flu-shot Campaign: Treatment-Effect Modeling and Targeting Policy You have historical campaign logs from last season that include randomized holdouts....
Implement R² and Compare PCA With/Without Scaling
NumPy-only implementation: R² and PCA (Data Scientist take-home) Implement from scratch using only NumPy (no scikit-learn). Use float64 throughout and...