As a Data Scientist on the Women’s Health team, you will develop algorithmic features and metrics impacting women’s health initiatives. You will leverage various data sources, combine WHOOP data with “gold standard” truth data, and integrate clinical research to design, train, deploy, and maintain machine learning algorithms providing insights to members. Responsibilities include developing statistical and machine learning models, conducting research on health and physiological problems, productionizing models, and collaborating with engineers to stand up production backend applications in Python. This role involves working with MLOps engineers to create and maintain robust services for data science algorithms.