Senior Data Scientist
Core
Building predictive ML models for user engagement, cardiovascular risk stratification, and personalized health recommendations to prevent cardiac events.
Role type
Senior IC machine-learning engineer (healthcare)
Builds
Predictive intelligence systems for the Hello Heart app
Domain
Healthcare + Machine Learning
Deliverable
production ML models
Required skills
Statistics and probability, Python software engineering, ML frameworks (PyTorch, scikit-learn, XGBoost, LightGBM), MLOps, experimental design, causal inference, deep learning, reinforcement learning
Preferred skills
Cloud platforms (AWS), containerization (Docker, Kubernetes), healthcare/clinical datasets, recommendation systems
Technologies
PyTorch, scikit-learn, XGBoost, LightGBM, AWS, Docker, Kubernetes
Responsibilities
Lead end-to-end development of predictive ML models from exploration to deployment; Apply statistical foundations to model design and uncertainty quantification; Write production-grade Python code; Use AI coding assistants for development and review; Partner with product and engineering teams; Research and implement cutting-edge ML techniques; Contribute to MLOps infrastructure; Design and interpret A/B tests
Seniority
Senior, hands-on IC