Data Scientist (Mid and Senior Level)
Core
Build and maintain robust models for consumer credit decisions, risk modeling, and value prediction (revenue, profit, customer lifetime value) at a peer-to-peer lending company.
Role type
Mid to Senior Individual Contributor Data Scientist (Credit Risk)
Builds
Production-grade classification and regression models for credit strategy and risk management
Domain
Consumer Finance / Credit Risk / Lending
Deliverable
production ML models
Required skills
Python, Git, statistical learning models, machine learning algorithms (classification/regression), hypothesis testing, experimental design, statistical fundamentals
Preferred skills
consumer credit/lending domain experience, sequence-based deep learning or transformer models, building production-grade Python microservices
Responsibilities
Translate ambiguous credit questions into practical modeling and analysis; build and maintain models supporting consumer-credit decisions; work on flagship risk and value-driver models; use Python for classification and regression solutions; partner with Credit Strategy to define priorities; collaborate with Product and Engineering for productionization; explain technical choices and build consensus; own problem delivery.
Seniority
Mid to Senior, hands-on IC
