Senior Data Scientist, Python & ML

- Architect and implement robust data pipelines to ingest, normalize, and reconcile information from various sources, including PostgreSQL and NoSQL databases - Develop strategies for schema unification to standardize different data types such as financial metrics, market signals, and property records - Create feature stores and data lakes that function as the definitive source of truth for models and agents - Execute thorough data quality checks, apply validation frameworks, and establish anomaly detection systems - Oversee the evolution of data schemas ensuring platform-wide consistency - Design and optimize embedding pipelines for handling multi-modal data - Implement and enhance vector search methodologies for pivotal platform data - Develop semantic search functionalities across diverse document categories - Refine retrieval strategies for user-specific and context-aware information filtering - Continuously measure and enhance relevance metrics for retrieval-augmented generation (RAG) - Construct user-centric property recommendation systems based on individual preferences and behavior - Create content recommendation frameworks for home improvement insights, advisory articles, and expert profiles - Develop collaborative filtering and hybrid recommendation techniques - Implement strategies for addressing cold-start scenarios for new users and properties