Senior Data Scientist - (Global Search, Consumer)

Own end-to-end development of deep neural ranking models for global search, from offline experimentation and evaluation to production monitoring and iterative improvement. Drive agentic ML research using LLM coding agents to autonomously generate experiments and refine Learning to Rank architectures. Lead feature engineering and model architecture innovation, ensuring reliability via drift/latency/feature pipeline monitoring while partnering with engineers and product managers and mentoring data scientists.