Principal Data Scientist
Core
Define scientific vision and technical strategy for an AI-native personalization platform powering Search, Recommendations, Homepage, Ads, and Notifications for millions of users.
Role type
Principal Data Scientist (AI/ML Strategy & Architecture)
Builds
Scalable, real-time personalization solutions, unified user/content representations, experimentation frameworks, and real-time inference services.
Domain
Streaming & OTT, Personalization, Recommendation Systems
Deliverable
production ML models | product features
Required skills
representation learning, sequential user modeling, foundation models, transformers, LLMs, multimodal AI, semantic retrieval, contextual bandits, reinforcement learning, causal inference, real-time ML systems, streaming pipelines, feature stores, vector retrieval, experimentation frameworks
Preferred skills
product intuition, first-principles problem solving, cross-functional technical leadership
Technologies
Transformers, LLMs, Foundation Models, Vector Retrieval, Streaming Pipelines, Feature Stores
Responsibilities
Define personalization vision and AI strategy; Architect next-generation AI systems; Solve personalization at scale (intent prediction, cold-start, exploration/exploitation); Build foundational platforms; Lead scientific excellence and mentor senior data scientists
Seniority
Principal, strategy & mentorship
