Data Scientist, Next Gen Recommendation Systems
Core
Build next-generation graph-based recommendation systems for a commerce partnership platform, surfacing relevant advertisers, creators, and products across a multi-entity network.
Role type
Senior IC Data Scientist (Recommendation Systems)
Builds
Production recommendation models and pipelines serving batch and real-time use cases for a global commerce partnership ecosystem.
Domain
E-commerce / AdTech / Multi-sided Marketplace
Deliverable
production ML models
Required skills
Python, SQL, large-scale distributed compute (Spark/Databricks), recommendation/ranking systems, embeddings and representation learning, ML engineering, experimentation design
Preferred skills
Graph neural networks, vector search, real-time ML serving, contextual bandits, PyTorch/TensorFlow, GCP
Technologies
Spark, Databricks, PyTorch, TensorFlow, GCP, FAISS, ScaNN, Vespa, Milvus, Feast, Tecton
Responsibilities
Design and evaluate multi-entity recommendation models across heterogeneous entities; develop graph-based architectures with semantic embeddings; build batch and real-time serving pipelines; own end-to-end ML delivery from prototype to production; design and analyze offline and online experiments.
Seniority
Senior, hands-on IC