Data Science Engineer

Garner is seeking a Data Science Engineer to join their team and improve their proprietary algorithms that rank individual doctor quality. The role involves conducting deep research to develop methodologies that measure the quality and efficiency of doctors, designing and implementing models that predict the validity of provider information, and architecting and deploying high-quality code alongside data engineers and backend engine. The company's mission is to transform the healthcare economy by delivering high-quality and affordable care for all, and this role plays a key part in achieving that goal. The position can be hybrid or remote and is based in NYC.

• Conduct deep research to develop methodologies that measure the quality and efficiency of doctors
• Design and implement models that predict the validity of provider information including practice address and contact information
• Architect and deploy high-quality code alongside data engineers and backend engine

• Conduct deep research to develop methodologies that measure the quality and efficiency of doctors
• Design and implement models that predict the validity of provider information including practice address and contact information
• Architect and deploy high-quality code alongside data engineers and backend engineers that will process claims data and derive scores for individual doctors
• Collaborate with Algorithms Product Managers, Clinical Researchers, and Engineers of all disciplines to continuously improve our ranking and directory ecosystems
• 1 year of professional experience in a fast-paced work environment
• A demonstrated ability to independently solve difficult problems and deliver high quality results to stakeholders