Architect and deploy sophisticated ML models for real-time campaign optimization, focusing on bid strategies, pacing, and multi-objective budget allocation.
Lead the design of a complex model orchestration layer, balancing conflicting KPIs to ensure a seamless intersection of engineering excellence and product performance.
Drive the ML roadmap for audience targeting, leveraging multi-source data to refine full-funnel outcomes for global advertisers.
Partner with Engineering to transition R&D models into scalable, high-concurrency production pipelines.
Serve as a subject matter expert, translating deep-dive analytics into strategic product recommendations and mentoring the next generation of data scientists.

Principal Data Scientist