Principal Data Scientist

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. As a member of the Data Science team, you will develop data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, physiology experts will be integral to your role. You will be responsible for large-scale, cross-functional collaboration projects powering personalized experiences while coaching and mentoring teammates in ML and AI research. RESPONSIBILITIES In this role you will be creating exceptional Member experiences by designing, developing, and implementing large-scale ML and AI models underpinning personalized insights and guidance toward health and fitness goals. Your work will set the bar for the entire Data Science team Ship high quality, high impact Member experiences working as strong collaborative partner to Product, Software, and other key teams, working through any cross-functional complexities that arise Operate comfortably in the ambiguous Member and technical problems we face, providing guidance and evidence-backed solutions to move the work forward Be an active mentor and technical leader to data science and ML practitioners within Whoop, working closely with Data Science leadership to create a strong learning environment for the team Promote and model best practices for design and implementation of ML model development, testing, evaluation, etc., both inside the team as well as throughout Whoop. Keep an eye on balancing Member needs and business needs (e.g., cost-effectiveness) QUALIFICATIONS You have a passion for delivering amazing user experiences at scale You have 8+ years of experience in end to end model creation from training and evaluating, to deploying in a production environment, with a philosophy to ship and iterate You have experience training and/or evaluating deep learning models You have a bias for shipping products and experiences, bringing a strong collaborative spirit to get things done You have hands-on experience implementing production machine learning systems (e.g., representation learning, causal inference, recommender systems, deep learning) in Python or a similar language You keep up with state of the art research by reading papers, attending conferences, and participating in research communities Understanding of human physiology is a benefit #J-18808-Ljbffr