AI Data Science Team lead

About the Role:

As an AI Data Science Team Lead, you will lead the Clinical AI domain in the Data & AI group. You will be responsible for building, deploying, and evolving clinical prediction models and LLM based agents that power our AI-first user experiences – starting with our conversational health assistant and expanding into risk prediction and disease management. 

You will lead a cross functional team of data professionals and work closely with Product, R&D, and Data Platform teams to bring data-driven ML/AI solutions to life.

Responsibilities:

• Lead a team data scientists & analysts
• Work closely with the engineering team on delivering AI agents to our product – collaborate on design, testing, deployment, monitoring and iterative improvements
• Establish best practices for agent observability & evaluation
• Partner with Product Managers to translate user journeys into intelligent conversational flows
• Define how real-time data from the app, wearables & clinical events is injected into agent memory
• Implement other novel algorithms and investigate new technologies to improve the clinical impact of our product and actually save lives! !

Required Skills:

• 3+ years experience as team lead
• 5+ years experience as a Data Scientist
• Proven experience delivering to production AI/ML systems (LLMs, conversational AI, or agent-based systems preferred), including concepts such as prompt engineering, agent orchestration, and RAG
• Proven Experience with model evaluation, A/B testing, monitoring frameworks
• Experience leading DS, Analytics & AI engineers in cross functional teams
• Strong SE skills & experience in developing production level Python code
• Ability to work across disciplines (Product, Engineering, Data) and communicate technical ideas clearly

Preferred Qualifications:

• Experience in clinical, healthcare, or regulated environments
• Experience delivering agents using LangGraph/LangChain