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 through a deeper understanding of their bodies and daily lives.
As a Senior Data Scientist on the Health Data Science team, you’ll help develop technology at the core of the business. In collaboration with clinicians, research analysts, and product managers, members of the Health Data Science team build features that help members improve their health and better understand their body’s signals. You’ll work closely with the software, regulatory, and clinical teams on the end-to-end development of SaMD applications, including defining system requirements, architecting and training clinical algorithms, implementing testing frameworks, writing model documentation, and designing and executing clinical validation. You’ll also work on general wellness features for the product that live outside of the regulatory framework. We’re looking for someone who has experience developing ML models in Python environments with time series data and who is excited about the use of wearables in the health and wellness space.
Join us in pushing the boundaries of wearable technology and positively impacting people's lives!
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