Staff Data Scientist (Catalog)
Core
Design next-generation catalog systems using agentic workflows and multi-modal LLMs to enrich product data (images, videos, reviews) and improve customer purchase decisions.
Role type
Staff Data Scientist (Catalog Technology)
Builds
Scalable catalog enrichment systems, automated extraction pipelines, and dynamic product info features for millions of listings.
Domain
E-commerce, AI, Machine Learning
Deliverable
production ML models
Required skills
Statistics and ML fundamentals, multi-modal LLMs, classical statistics/ML, Python, TensorFlow, PyTorch, system design for scale, hypothesis formulation, experiment design
Preferred skills
Production LLM/agentic system experience, modeling ambiguous business problems, designing hybrid pipelines with Human In The Loop, e-commerce domain expertise
Technologies
Python, TensorFlow, PyTorch, LLMs
Responsibilities
Design catalog systems at scale using agentic workflows, set technical direction for evolving models into scalable systems, conduct research to inform model development, collaborate with cross-functional teams to translate requirements, analyze launched solutions to quantify outcomes, act as a thought leader on AI challenges and evaluations
Seniority
Staff, hands-on IC with strategic influence
