Applied Scientist
Core
Research and implement enhancements to Upstart's core unsecured underwriting model to improve credit decisioning and predictive performance.
Role type
Applied Scientist (Machine Learning)
Builds
Production-ready ML models for unsecured lending underwriting
Domain
Fintech / Credit Risk / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, Python, probability, statistics, experimental design, model evaluation, feature engineering
Preferred skills
PhD in quantitative field, supervised learning, large dataset handling, research-to-production translation
Technologies
Python
Responsibilities
Research ML/statistical approaches for underwriting models; Design, implement, and evaluate model enhancements; Analyze model performance and downstream effects; Partner with engineering teams for deployment; Translate research into production-ready solutions
Seniority
Associate (0-2 years experience)
