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 data linking
Domain
Financial services / Market intelligence / AI & Machine Learning
Deliverable
production ML models
Required skills
Architecting production systems combining classical ML and GenAI, designing and shipping LLM-powered agentic workflows, entity resolution and record linkage techniques, Python and ML ecosystem expertise, asynchronous distributed task architectures, web API service architecture, MLOps/LLMOps standards, stakeholder management
Preferred skills
Experience with MCP (Model Context Protocol), agent orchestration frameworks, RAG architectures, public contributions in agentic AI
Technologies
Python, Pandas, NumPy, PyTorch, Transformers, LightGBM, XGBoost, FastAPI, Gemini, OpenAI, Anthropic, sentence-transformers, Hugging Face, Google ADK, vector stores
Responsibilities
Own end-to-end technical architecture including API service layer and model registry, set AI/ML roadmap for classical ML and GenAI, prototype and productionize multi-agent workflows, define MLOps/LLMOps standards, lead technical design and code reviews, manage stakeholders for roadmap alignment, mentor team members on ML and agentic AI techniques
Seniority
Senior, hands-on IC with leadership responsibilities