Senior Data Scientist

About Heidi Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. The company’s mission is to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. The Role As a Senior Data Scientist (AI) on Heidi’s Model Team, you will sit at the intersection of AI engineering and data science. Initially you’ll partner closely with the AI Engineering team to strengthen data pipelines, analytics, experimentation frameworks, and reporting systems. Over time, this role will evolve into a hands‑on contributor in AI/LLM model work—including fine‑tuning, deployment, personalization, and applied research. What you’ll do Experiment: Collaborate with engineers and product teams to design, implement, and analyze online A/B tests to measure product impact. Analytics & Reporting: Design dashboards, run analyses, and provide clear reporting to inform product and research decisions. Model Fine‑Tuning: Gain hands‑on experience with large language models by applying fine‑tuning techniques (e.g., supervised fine‑tuning, parameter‑efficient methods) to improve model performance in healthcare‑specific tasks. Model Deployment: Support the engineering team in deploying models into production environments, ensuring scalability, reliability, and integration with clinical workflows. Model Personalisation: Explore approaches for adapting models to specific user needs, such as personalization, domain adaptation, and context‑aware inference to enhance clinician productivity and patient care. Collaboration: Partner with data, engineering, product, and medical knowledge teams to align data and model work with Heidi’s mission in healthcare AI. Continuous Learning: Stay up‑to‑date with emerging AI and ML research, and grow your expertise from data‑focused tasks to advanced model science. What we will look for A background as a Data Scientist (or similar role) with strong skills in Python, SQL, and modern data tooling. Demonstrated experience in data analysis, experimentation (A/B testing), and building dashboards or reporting systems. Solid programming and software engineering skills: ability to write clean, efficient, and maintainable code that can scale into production systems. Good understanding of large language models (LLMs) and transformer architectures—you know how they work under the hood and are motivated to deepen this knowledge further. An interest and motivation to deepen technical expertise in AI/ML—particularly in areas like model fine‑tuning, deployment, and personalization. A solid foundation in statistics, probability, and data‑driven decision‑making. Strong problem‑solving skills with the ability to move from vague questions to well‑structured experiments and insights. Curiosity, adaptability, and a growth mindset: you’re eager to bridge the gap between data science and AI engineering. Bonus Experience with machine learning workflows (e.g., training or evaluating models, working with ML pipelines). Familiarity with deep learning frameworks (PyTorch or TensorFlow). Prior exposure to healthcare data or applications. What we believe in We create unconventional solutions to difficult problems and build them fast. We set impossible goals and make them happen, thinking of a medical rocket launch. You’ll be surrounded by a world‑class team of engineers, medicos, and designers to do your best work, inspired by our shared beliefs: We will stop at nothing to improve patient care across the world. We design user experiences for joy and ship them fast. We make decisions in a flat hierarchy that prioritizes the truth over rank. We provide the resources for people to succeed and give them the freedom to do it. Why you will flourish with us