Position Details
About this role
This role involves developing advanced audience segmentation models and leveraging data science techniques to improve marketing engagement for Gilead's healthcare products.
Key Responsibilities
- Develop audience segments
- Activate segments across digital channels
- Optimize campaign performance
- Leverage data clean room environments
- Ensure data privacy and compliance
Technical Overview
The technical environment includes data modeling, machine learning, statistical algorithms, and platforms like LiveRamp and data clean rooms to manage consumer data and ensure privacy compliance.
Ideal Candidate
The ideal candidate is a data scientist or analytics professional with experience in audience segmentation, machine learning, and data modeling techniques, preferably with exposure to privacy-compliant data environments like LiveRamp. They should have a strategic mindset and strong collaboration skills to work across marketing and data teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data modeling or machine learning, No familiarity with LiveRamp or data clean room environments, No experience in audience segmentation or targeting, Unwillingness to work in a hybrid environment in Foster City
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile