The role involves building control systems that dynamically allocate ad budgets across sell-side partners based on quality signals and performance targets
Job Summary
The role involves building control systems that dynamically allocate ad budgets across sell-side partners based on quality signals and performance targets.
Candidates will design experiments using causal inference methods to measure the impact of inventory decisions on advertiser KPIs.
The position requires developing time series models to anticipate supply volume shifts and help buyers plan accordingly.
Matching Summary
The role involves building control systems that dynamically allocate ad budgets across sell-side partners based on quality signals and performance targets.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Causal inference methods for impact measurement
Time series modeling for supply prediction
Recommendation system development
Dynamic budget allocation control systems
Marketplace decision metric design
Nice-to-have
Experience with advertiser KPI optimization
Ability to translate trade-offs into insights
Background in supply chain strategy
Key Requirements
Advanced degree in Applied Science or related field
Expertise in causal inference and experimental design