Principal, Marketing Data Science
Core
Builds algorithmic and machine learning foundations to turn marketing data into predictive, self-improving systems for growth in a healthcare environment.
Role type
Principal, hands-on IC marketing data scientist
Builds
Attribution models, AI-driven learning systems, and algorithmic infrastructure for marketing data
Domain
Healthcare marketing analytics and machine learning
Deliverable
production ML models
Required skills
Python, R, SQL, causal inference, incrementality techniques, propensity modeling, time series analysis, experimental design, statistical modeling
Preferred skills
Healthcare or financial services domain experience, HIPAA compliance knowledge
Technologies
Python, R, SQL
Responsibilities
Design and refine attribution and incrementality models; develop and deploy AI/ML systems for predictive forecasting and media optimization; architect data pipelines for marketing data ingestion; establish data quality standards; translate model logic to executive stakeholders; ensure compliance with HIPAA and healthcare data privacy requirements
Seniority
Principal, hands-on IC