Skill

Classification And Regression Tree (CART)

Data Science, Analytics and AI/ML

CART is a decision tree algorithm used in machine learning and statistics to build predictive models for both classification (categorical outcomes) and regression (continuous outcomes) tasks. It works by recursively splitting data into subsets based on feature values that best separate the target variable. Data scientists and analysts use CART for tasks like customer segmentation, risk prediction, and as a building block for ensemble methods like random forests.

Open roles requiring Classification And Regression Tree (CART) (1)

Principal Scientist, Antibody Discovery and Engineering

Moderna

Full-time · $142,500 – $256,500

This role leads discovery and engineering of antibody therapeutics across oncology and autoimmune programs, spanning target strategy through lead nomination. It suits a scientist with deep expertise in antibody biology, display technologies, and immunization-based discovery who can independently drive programs while collaborating across functional teams.

Listed on Moderna’s careers site · Apply there ↗

Roles that use Classification And Regression Tree (CART)

• Scientist1

• Predictive Modeling
• Decision Trees
• Ensemble Methods
• scikit-learn