Data Science Technical Lead

Found in: Talent US C2 - 2 weeks ago

Boston, United States whoop Full time
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 the Data Science Technical Lead for Sleep, you’ll help develop technology at the core of the business. You’ll create, improve, and maintain algorithms that provide members with insights about their sleep. Providing the highest quality sleep tracking and analysis on sleep from a wearable is fundamental to the WHOOP experience. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the sleep algorithms. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to create novel sleep features.

RESPONSIBILITIES:

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 

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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