Principal Full-Stack Data Scientist - Foundational Models
Core
Building and evolving foundational machine learning systems for personalization and recommendations in retail, including client/item representations, retrieval, ranking, and generative AI.
Role type
Senior Full-Stack Data Scientist (Foundational Models)
Builds
Production ML systems for personalization, recommendation, and assortment generation
Domain
Retail, Personalization, Generative AI, Deep Learning
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Spark, A/B testing, representation learning, multimodal modeling, LLMs
Preferred skills
Master's or PhD in quantitative field
Technologies
PyTorch, TensorFlow, Spark
Responsibilities
Design, develop, evaluate, and productionize ML models for personalization; Advance foundational modeling capabilities (embeddings, retrieval, ranking); Explore and apply LLMs and generative approaches; Own work across the full ML lifecycle; Design rigorous offline evaluations and online experiments; Work with large-scale behavioral and product datasets; Collaborate with Product and Engineering teams; Contribute to technical direction via design discussions and best practices.
Seniority
Senior, hands-on IC
