Principal Data Scientist
Core
Strategic thought partner to product, finance, and ML leaders, defining agendas, designing experiments, and building tools for forecasting, spend optimization, and attribution.
Role type
Principal Data Scientist (Strategy & Analytics)
Builds
Strategic frameworks, forecasting models, spend allocation optimization tools, and attribution models for credit products.
Domain
Fintech / AI Lending
Deliverable
production ML models
Required skills
Experimental design, A/B testing, causal inference, statistical modeling, coding, stakeholder partnership, ambiguity navigation, communication, ML collaboration, personalization/recommendation systems
Preferred skills
Forecasting, spend allocation optimization, marketing incrementality, attribution modeling
Technologies
Python, SQL, R (implied by statistical/coding context), ML frameworks
Responsibilities
Shape strategic direction by identifying gaps and setting agendas; Design and execute complex experiments including causal inference; Build and own technical tools for forecasting and optimization; Translate ambiguous business problems into clear analytical frameworks; Influence cross-functional leaders without direct authority.
Seniority
Principal, strategy & mentorship
