Applied Scientist
Core
Develop causal machine-learning models and experiments to optimize customer offers and conversion across the lending funnel.
Role type
Applied Scientist (Causal Inference & Optimization)
Builds
Production-ready models and decision strategies for offer selection
Domain
Fintech / AI Lending / Marketplace Optimization
Deliverable
production ML models
Required skills
Causal inference, Experimentation design, Machine learning, Applied statistics, Python, Data analysis
Preferred skills
PhD in quantitative field, Marketplace optimization, Treatment-effect modeling, Supervised learning, Feature engineering
Technologies
Python
Responsibilities
Develop causal ML models to optimize customer offers, Design and analyze experiments to evaluate offer strategies, Build production-ready code for offer selection, Partner with Product and Engineering on implementation
Seniority
Mid-level, hands-on IC
