Lead a team of Applied Scientists to build and improve production ML systems for healthcare.
•Garner is transforming the U.S. healthcare system by partnering with employers to redesign healthcare delivery.
•We use proprietary clinical metrics and a vast patient dataset to identify top-performing doctors and incentivize members to choose higher-quality, lower-cost care, resulting in better health outcomes and significant cost savings.
•Key Responsibilities Lead and develop a team of Applied Scientists, setting technical direction and ensuring rigor and speed.
•Own the team's roadmap and delivery, from problem framing to shipping and improving production systems.
•Get hands-on with complex problems, delivering algorithmic step-changes that impact key metrics.
•Collaborate with Research, Product, and Engineering stakeholders to translate business goals into actionable problem sets.
•Requirements 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, or equivalent; or 4+ years with an advanced degree.
•Deep technical credibility and strong judgment in choosing algorithmic approaches.
•Proven ability to define metrics and deliver solutions that improve them.
•Strong communication skills, including at the executive level.