Senior 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 Senior Data Scientist to join our AI team. In this role, you will lead the development of our best-in-class conversational heart health agent. You will work on highly complicated challenges, spanning from deep research to full-scale production. Your work will leverage cutting-edge Generative AI and agentic architectures to help solving one of the world's most significant and urging clinical issues: cardiovascular disease. Your contribution will directly impact healthcare practices and enhance the well-being of individuals globally.

Responsibilities:

You will take ownership of designing and building a conversational heart health agent, utilizing advanced LLM techniques, RAG (Retrieval-Augmented Generation), and flow engineering.
You will architect and implement complex agentic and multi-agentic graphs using tools like LangChain and LangGraph to handle intricate clinical logic and user interactions.
You will not just research; you will write production-grade code. You will be responsible for optimizing, deploying, and maintaining these systems in a live environment.
You will implement robust monitoring and debugging workflows for agentic products (using tools like LangFuse or LangSmith) to ensure safety, accuracy, and performance.
You will work closely with product managers and clinical experts to translate clinical research into digital insights and conversational flows that will be used on a daily basis.
You will innovate and make new ideas happen fast, in an agile way, keeping up with the rapidly evolving landscape of GenAI.

Qualifications:

5+ years of hands-on experience in developing machine learning and statistical models using Python (Required).
MSc in Computer Science, Electrical Engineering, Statistics, Applied Math or other related fields (Required).
Deep experience with Generative AI, specifically LLMs, Prompt Engineering, RAG, and flow engineering (Required).
Proven experience building agentic and multi-agentic graphs using LangChain or LangGraph (Required).
Experience with monitoring and debugging agentic products in production using tools such as LangFuse or LangSmith (Required).
Strong production experience with the proven ability to transfer research ideas into a scalable, production-grade system.
Experience working with PyTorch / TensorFlow and other standard DL tools (Required).
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, and anomaly detection.
Comfortable working in a dynamic group with several ongoing concurrent projects, both in the research phase and production phase.

Advantages:

PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or other related fields.
Experience in the healthcare industry and working with clinical data / EMR.

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.