Principal Applied Scientist
Core
Define long-term technical direction for offer optimization and conversion modeling systems at the intersection of operations research, optimization, causal machine learning, and production decision systems.
Role type
Principal Applied Scientist (Strategy & Systems Design)
Builds
Unified decision-making architecture connecting offer decisioning, conversion modeling, and marketplace optimization across the customer journey.
Domain
Fintech / Lending / Marketplace Optimization
Deliverable
production ML models
Required skills
Operations research, optimization, causal machine learning, statistics, probability, system design, cross-functional technical leadership
Preferred skills
Offer optimization, pricing systems, end-to-end modeling, fintech domain expertise, mentoring senior scientists
Technologies
N/A
Responsibilities
Define technical vision for interconnecting offer decisioning systems; Build conversion modeling approaches optimizing across multiple customer journey stages; Design interfaces between decision systems and optimization components; Drive cross-functional technical alignment across teams; Scope and lead large, ambiguous initiatives requiring deep modeling judgment; Contribute to implementation and experimentation including prototyping and code review.
Seniority
Principal, strategy & mentorship
