Data Science Technical Lead
3 weeks ago
RESPONSIBILITIES:
Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time Ownership of the WHOOP Sleep algorithms that identify periods of sleep, analyze data collected during sleep, and formulate insights on sleep for members Create, improve, and maintain production services that provide analysis for sleep features in collaboration with MLOps Engineers Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation Conduct research on the use of wearable sensors to analyze sleep physiology and the implications of sleep parameters on performance Design data collection studies to improve the performance of various sleep algorithms Mentor / manage other data scientists on technical skills and paths for career growth Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
QUALIFICATIONS:
Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field 5+ years of full-time professional experience in a related area 5+ years experience applying advanced mathematical and statistical techniques Significant experience working with time series data, preferably with sleep applications Proficient 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 Prior management or mentorship experience is preferred Join us in pushing the boundaries of wearable technology and positively impacting people's lives-
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