Data Scientist, Growth
Eight SleepFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 2-4 years of experience in a data science role, preferably in consumer tech, e-commerce, or subscription-based businesses. A strong background in statistical modeling and machine learning, including predictive modeling, classification, clustering, or recommendation systems, is required. Proficiency in Python for analysis and modeling, along with strong SQL skills for large datasets, is essential. Experience building reproducible, production-ready pipelines and collaborating with engineers and ML Ops for model deployment and monitoring is necessary. Hands-on experience with experimentation frameworks like A/B testing and multi-armed bandits, along with strong business acumen and excellent communication and collaboration skills, are also required. Relocation to Boston, MA, is expected.
The Business Data Scientist II will identify and scope opportunities where data science can drive member acquisition, engagement, retention, and upsell. They will build, validate, and iterate on statistical and machine learning models to solve core growth problems, such as churn prediction, personalization, and bandit optimization. This role involves driving novel model ideation, rapidly prototyping MVPs, and partnering with engineers and ML Ops to deploy scalable inference models into production. Collaboration with Product Managers, Analysts, and Engineers to design and evaluate experiments is key, as is staying updated on emerging AI and machine learning technologies. The position requires communicating findings and recommendations clearly to both technical and non-technical stakeholders.
Wearable fitness tracker with personalized insights
WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.