Senior Data Scientist (Insights)

RESPONSIBILITIES:

• Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics
• Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation 
• Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement
• Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user
• Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health
• Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

QUALIFICATIONS:

• Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master’s preferred)
• 5+ years of full-time professional experience in a related area
• 5+ years experience applying advanced machine learning and statistical techniques
• Significant experience working with time series data, causal modeling, probabilistic methods
• Proficiency in scientific Python and SQL
• Experience deploying services and maintaining live code through logging and monitoring within a production environment
• Excellent verbal and written communication skills
• Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software.

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.