Principal Data Scientist, Marketing Measurement
Core
Lead marketing measurement and incrementality analysis to determine the causal impact of marketing spend across channels like direct mail, paid search, and social, guiding budget allocation decisions.
Role type
Principal data scientist (marketing measurement & causal inference)
Builds
Causal measurement frameworks, attribution models, and spend allocation recommendations for marketing and finance teams.
Domain
Fintech lending / Marketing analytics
Deliverable
production ML models
Required skills
Causal inference, incrementality testing, marketing mix modeling, multi-touch attribution, Python, SQL, budget optimization, stakeholder communication
Preferred skills
PhD or master's in statistics/economics/CS, AI tools for analysis
Technologies
Python, SQL
Responsibilities
Guide incrementality measurement across marketing channels; Apply causal inference methods when clean tests aren't feasible; Build and maintain attribution approaches; Turn measurement results into spend allocation recommendations; Automate recurring measurement reporting; Mentor analysts on measurement work
Seniority
Principal, hands-on IC with mentorship
