Lead Data Scientist, Data Science
Core
Design and deploy next-generation AI-enabled analytics solutions using Generative AI, RAG, and semantic modeling to transform enterprise data access and decision-making.
Role type
Lead Data Scientist (Generative AI & Analytics)
Builds
Scalable AI solutions, RAG architectures, AI agents, copilots, and intelligent analytical workflows.
Domain
Enterprise Data & Generative AI
Deliverable
production ML models | product features
Required skills
Python, RAG architectures, vector databases, LLM APIs, prompt engineering, SQL, data modeling, cloud platforms
Preferred skills
Machine learning, statistical analysis, AI evaluation frameworks, API deployment
Technologies
OpenAI, Snowflake Cortex, Databricks AI, Anthropic, Snowflake, Databricks, Microsoft Fabric
Responsibilities
Design and optimize RAG solutions combining LLMs with enterprise knowledge stores; Build and maintain AI knowledge architectures including metadata frameworks and vector stores; Develop reusable AI skills, agents, and prompt frameworks for automated workflows; Lead AI cost-optimization initiatives through retrieval patterns and token management; Partner with engineering to integrate AI capabilities into business applications; Apply best practices for prompt engineering, grounding, and hallucination mitigation.
Seniority
Lead, hands-on IC with strategic ownership