AI Data Science Team lead

About Hello Heart

Hello Heart is on a mission to change the way people care for their hearts. The company provides the first app and connected heart monitor to help people track and manage their heart health. With Hello Heart, users take steps to control their risk of heart attacks and stroke – the leading cause of death in the United States. Peer-reviewed studies have shown that high-risk users of Hello Heart have seen meaningful drops in blood pressure, cholesterol and even weight. Recognized as the digital leader in preventive heart health, Hello Heart is trusted by more than 130 leading Fortune 500 and government employers, national health plans, and labor organizations. Founded in 2013, Hello Heart has raised more than $138 million from top venture firms and is a best-in-class solution on the American Heart Association’s Innovators’ Network and CVS Health Point Solutions Management platform. Visit www.helloheart.com for more information.

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 of 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! !
  
  

• 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
  
  

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