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.