Data Scientist

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

Hello Heart is seeking a talented and motivated Data Scientist to join our AI team. In this role, you will contribute to the development of our best-in-class conversational heart health agent. You will work on challenging problems, bridging the gap between research and production. Your work will leverage cutting-edge Generative AI and agentic architectures to help solve one of the world's most significant clinical issues: cardiovascular disease. Your contribution will directly impact healthcare practices and enhance the well-being of individuals globally.

Your responsibilities

You will design and implement conversational flows and logic for our heart health agent, utilizing LLM techniques, RAG (Retrieval-Augmented Generation), and prompt engineering.
You will implement and maintain agentic graphs using tools like LangChain and LangGraph, translating clinical requirements into working code.
You will write clean, scalable, production-grade Python code. You will move beyond notebooks to contribute directly to the production codebase and assist in deployment processes.
You will utilize monitoring tools (such as LangFuse or LangSmith) to analyze agent performance, identify edge cases, and ensure the safety and accuracy of our model responses.
You will work closely with other data scientists, product managers, and clinical experts to understand requirements and turn clinical logic into reliable digital insights.
You will experiment with new GenAI tools and techniques, rapidly prototyping ideas to keep our technology stack current.

Your Skills

2+ years of hands-on experience in developing machine learning models and software using Python (Required).
MSc in Computer Science, Electrical Engineering, Statistics, Applied Math, or related fields (Required).
Hands-on experience with Generative AI, specifically working with LLMs, Prompt Engineering, and RAG architectures (Required).
Experience writing production-quality code (version control, testing, modular design) and the ability to move models from research to deployment.
Proficiency with PyTorch / TensorFlow and standard deep learning libraries.
Solid understanding of data mining algorithms and statistical modeling techniques (clustering, classification, regression, decision trees, etc.).
Ability to work in a dynamic, fast-paced team environment.

Advantages

Experience in the healthcare industry or working with clinical data / EMR.
Experience building applications using frameworks like LangChain or LangGraph.
Familiarity with monitoring and evaluation tools for LLMs (e.g., LangFuse, LangSmith, or similar).
Background in Natural Language Processing (NLP) beyond LLMs.

Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.