Lead Data Scientist
Core
Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions to drive business value across Commercial functions.
Role type
Senior IC Lead Data Scientist (AI/GenAI/Agentic AI)
Builds
Enterprise AI products, multi-agent systems, conversational AI tools, and agentic AI platforms for market research and competitive intelligence.
Domain
Healthcare / Biopharma / Commercial Operations
Deliverable
production ML models | product features
Required skills
Python, SQL/NoSQL, Spark, LangChain, LangGraph, Transformers, predictive modeling, classification, regression, forecasting, recommendation systems, optimization, causal inference, agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, NLP (regex, fuzzy matching), vector databases, cloud-native AI services, AWS/GCP/Azure, API development, end-to-end AI lifecycle management, Responsible AI principles.
Preferred skills
Experience in life sciences and healthcare, Agile/Scrum environment familiarity, Jira & Confluence usage.
Technologies
Python, Java, SQL, NoSQL, Spark, LangChain, LangGraph, Transformers, Snowflake, AWS, GCP, Azure, REST APIs, Golang, NodeJS, Angular, Typescript, Jira, Confluence.
Responsibilities
Lead design and deployment of GenAI/Agentic AI solutions; serve as subject matter expert for solution architecture and model selection; own end-to-end lifecycle from problem framing to operationalization; partner with stakeholders to translate requirements into scalable AI solutions; mentor junior Data Scientists and AI Engineers; develop reusable frameworks and coding standards; stay current with emerging AI technologies.
Seniority
Senior, hands-on IC with leadership responsibilities
