Principal Applied Scientist, Ads Optimization, FAIM
Core
Invent models for joint budget allocation across sponsored ad products to maximize advertiser outcomes and long-term customer value.
Role type
Principal Applied Scientist (Ads Optimization)
Builds
Full-funnel campaign optimization systems serving live advertiser campaigns
Domain
Advertising technology, machine learning, optimization science
Deliverable
production ML models
Required skills
predictive modeling, algorithm design, incrementality measurement, long-term sales modeling, Java/C++/Python programming, technical leadership, experiment design
Preferred skills
novel algorithm creation, state-of-the-art research, peer-reviewed publications, complexity analysis
Technologies
Java, C++, Python
Responsibilities
Define scientific vision for full-funnel optimization, prototype and productionize budget allocation models, design large-scale experiments, partner with engineering on technical contracts, mentor scientists and engineers, publish research
Seniority
Principal, strategy & mentorship
