This role requires developing advanced machine learning models to create highly-targeted audience segments for Gilead's therapeutic brands
Job Summary
This role requires developing advanced machine learning models to create highly-targeted audience segments for Gilead's therapeutic brands.
The position involves leveraging LiveRamp and data clean room environments to ensure privacy-compliant data integration across multiple sources.
Gilead offers a competitive salary range of $195,670.00 - $253,220.00 along with discretionary bonuses and comprehensive benefits.
Matching Summary
This role requires developing advanced machine learning models to create highly-targeted audience segments for Gilead's therapeutic brands.
Salary
Base: $195,670.00 - $253,220.00; Bonus/Equity: Discretionary annual bonus and stock-based long-term incentives eligible; Benefits: Medical, dental, vision, life insurance, and paid time off
Skills & Requirements
Must-have
Advanced Python proficiency for data analysis
Strong SQL experience for data querying
Look-alike modeling (3P LAL) expertise
LiveRamp or data clean room experience
10 years of relevant audience segmentation experience
Nice-to-have
Experience with pharma industry data
Familiarity with SFMC platform integration
Knowledge of SDoH data sources
Leadership and team development skills
Strategic cross-functional collaboration
Key Requirements
Bachelor's degree plus 10 years experience OR Master's plus 8 years OR PhD plus 5 years
Proven track record in audience creation and data-driven marketing
Deep understanding of consumer data governance and privacy regulations