Applied Scientist: ML & Experimentation for Decisioning

A leading digital health company in Austin is seeking an Applied Scientist to build and measure machine learning systems. The role involves training models, defining performance metrics, and designing A/B tests. The ideal candidate has over 5 years in applied science or data science, strong Python and SQL skills, and experience in a healthcare environment. Join us to make impactful decisions in real-world applications while working cross-functionally to optimize healthcare solutions. #J-18808-Ljbffr