Lead Data Scientist
Core
Lead the technical direction of a large-scale entity resolution and linking platform combining classical ML and GenAI techniques to power intelligent matching services across S&P Global.
Role type
Senior IC Lead Data Scientist (Agentic AI & Entity Resolution)
Builds
Production APIs and orchestrated workflow systems for entity resolution and linking across multiple data domains.
Domain
Financial services / Market intelligence / AI & Machine Learning
Deliverable
production ML models
Required skills
Architecting production systems combining classical ML and GenAI, designing LLM-powered agentic workflows, Python, asynchronous distributed task architectures, web API services, entity resolution techniques, MLOps/LLMOps, cloud infrastructure
Preferred skills
Experience with MCP (Model Context Protocol), agent orchestration frameworks, RAG architectures, entity resolution in financial domains, public contributions in agentic AI
Technologies
Python, LightGBM, XGBoost, scikit-learn, PyTorch, Transformers, FastAPI, Google ADK, sentence-transformers, Hugging Face, vector stores, containerization, object storage
Responsibilities
Own end-to-end technical architecture including API layer and task orchestration, set AI/ML roadmap for classical ML and GenAI, prototype and productionize multi-agent workflows, define MLOps/LLMOps standards, lead technical design reviews, mentor data scientists, manage stakeholders, represent technical decisions to leadership
Seniority
Senior, hands-on IC with leadership responsibilities