Staff Applied Scientist (Perm or Contract)
Core
Design and build models for campaign optimisation, audience quality modelling, inventory allocation, and measurement in programmatic advertising to improve CTR, CPA, and ROAS.
Role type
Staff Applied Scientist (Perm or Contract)
Builds
Real-time optimisation systems for campaign performance, audience scoring, and inventory pricing/allocation
Domain
Programmatic advertising, data collaboration, privacy-preserving analytics
Deliverable
production ML models
Required skills
optimisation or bidding systems in programmatic advertising, applied ML and statistical foundations, production ML experience, fluency with the programmatic ecosystem, cross-publisher or cross-supply optimisation
Preferred skills
privacy-constrained environments, cohort-based targeting, clean rooms
Technologies
Scala services, SDKs, data pipelines
Responsibilities
Design and build models for campaign optimisation using publisher-side and advertiser outcome data; Develop approaches to inventory allocation accounting for audience quality and supply dynamics; Own models end-to-end from conception through production monitoring; Influence product direction by identifying opportunities and framing feasibility; Run experiments and prototypes to validate ideas and evolve them into production systems
Seniority
Staff, hands-on technical leadership with broad scope and autonomy
