WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Business Data Scientist II to join our Growth Analytics team. This role is focused on building statistical and machine learning models that help WHOOP grow its business by acquiring, engaging, retaining, and upselling members. This position is centered on rapid experimentation, measurable business impact, and continuous iteration. You’ll take on ambiguous growth problems, design and build MVP models, and quickly test and refine them in production. Example projects include churn prediction, conversion optimization, upsell recommendations, personalized onboarding, and applying multi-armed bandit approaches to optimize push and web experiences. 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. Responsibilities • Identify and scope opportunities where data science can drive member acquisition, engagement, retention, and upsell. • Build, validate, and iterate on statistical and machine learning models to solve core growth problems (e.g., churn prediction, personalization, bandit optimization). • Drive novel model ideation and development, rapidly prototyping MVPs locally for testing and iteration. • Partner with Software Engineers and ML Ops to deploy robust inference models into production, ensuring solutions are scalable, maintainable, and integrated into WHOOP’s digital experiences. • Collaborate with Product Managers, Analysts, and Engineers to design, implement, and evaluate experiments that inform product and business strategy. • Stay at the forefront of emerging technologies in AI, machine learning, and experimentation, applying them to WHOOP’s most impactful challenges. • Communicate findings and recommendations clearly to technical and non-technical stakeholders, translating complex analyses into actionable insights. Qualifications • 2–4 years of experience in a data science role (ideally in consumer tech, e-commerce, or subscription-based businesses). • Strong statistical modeling and machine learning background, with experience in predictive modeling, classification, clustering, or recommendation systems. • Proficiency in Python as the primary language for analysis and modeling, with strong SQL skills for working with large datasets. • Ability to build reproducible, production-ready pipelines and experience collaborating with engineers and ML Ops teams to deploy and monitor models in production. • Hands-on experience with experimentation frameworks (A/B testing, multi-armed bandits, causal inference) and interpreting results in a business context. • Strong business acumen; able to translate ambiguous business problems into data science approaches. • Comfort balancing rigor with pragmatism — prioritizing speed, MVPs, and iteration when driving growth. • Excellent communication and collaboration skills. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.