WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
As a Staff Data Science Tech Lead on our Training team, you will develop algorithmic features and metrics that capture aspects of daily movement, exercise, and training. Leveraging various data sources to combine WHOOP data with “gold standard” truth data, as well as drawing upon clinical theory and evidence, you will work with a team of data scientists to design, train, deploy, and maintain machine learning algorithms to provide insights to members on a wide range of topics. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services that host data science algorithms. You’ll partner with the product team to identify new opportunities where we can leverage our large datasets to offer novel insights to our members. This role will serve as a technical leader for the Data Science Training team but will not directly manage other individual contributors.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility