Lead Data Scientist-Item Science
Core
Design, develop, deploy, and maintain data science models and tools for catalog management, item data quality, attribute enrichment, taxonomy prediction, and derived attributes using GenAI, LLMs, computer vision, and classical ML.
Role type
Lead Data Scientist (Item Science)
Builds
Intelligent capabilities for product onboarding, enrichment, validation, discovery, and experience across digital and operational channels.
Domain
Retail / Item Science / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Hadoop/Hive, PyTorch, TensorFlow, GenAI/LLMs, Deep Learning, Multimodal LLMs, modular architecture, software development practices
Preferred skills
Docker, Kubernetes, Prompt Engineering, Embedding Generation, RAG, Vector DB, Elastic Search, Computer Vision
Technologies
Python, SQL, Hadoop, Hive, PyTorch, TensorFlow, Docker, Kubernetes, Vector DB, Elastic Search
Responsibilities
Analyze large datasets for insights leading to business process improvements; Contribute to research, design, and implementation of leading-edge generative AI technologies; Work with Multimodal LLMs, enhance model performance, fine-tune LLMs; Work with the team to build and maintain complex software systems and tools; Adopt modular architecture and good software development/engineering practices; Coordinate the analysis, troubleshooting and resolution of issues in the models and software.
Seniority
Senior, hands-on IC with leadership responsibilities
