WHOOP
Staff Data Science Tech Lead (Training)
WHOOP, Boston, Massachusetts, us, 02298
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 by providing a deep understanding of their bodies and daily lives.As a Staff Data Science Tech Lead on our Training team, you will develop algorithmic features and metrics that capture aspects of daily movement, exercise, and training. Leveraging various data sources to combine WHOOP data with “gold standard” truth data, as well as drawing upon clinical theory and evidence, you will work with a team of data scientists to design, train, deploy, and maintain machine learning algorithms to provide insights to members on a wide range of topics. You’ll partner with the product team to identify new opportunities where we can leverage our large datasets to offer novel insights to our members. This role will serve as a technical leader for the Data Science Training team but will not directly manage other individual contributors.
RESPONSIBILITIES:
Design, develop, and implement WHOOP algorithms using large-scale machine learning models.Work closely with a team of data scientists in developing algorithms that power member-facing features.Conduct literature reviews and research projects to power evidence-based features for Members.Collaborate with WHOOP Labs and our in-house clinical research team to design novel studies.Create, improve, and maintain production services that provide analysis for movement, exercise, and training.Work with Data Engineers to improve data pipelining and tooling for machine learning.Mentor other data scientists on the team, providing actionable feedback.Periodically serve as the on-call data scientist for production services.QUALIFICATIONS:
Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field.7+ years of full-time professional experience in a related area.7+ years experience applying advanced mathematical and statistical techniques.Significant experience working with time series data, preferably with wearable data applications.Proficiency in scientific Python and SQL.Experience deploying services and maintaining live code in a production environment.Excellent verbal and written communication skills.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary.
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RESPONSIBILITIES:
Design, develop, and implement WHOOP algorithms using large-scale machine learning models.Work closely with a team of data scientists in developing algorithms that power member-facing features.Conduct literature reviews and research projects to power evidence-based features for Members.Collaborate with WHOOP Labs and our in-house clinical research team to design novel studies.Create, improve, and maintain production services that provide analysis for movement, exercise, and training.Work with Data Engineers to improve data pipelining and tooling for machine learning.Mentor other data scientists on the team, providing actionable feedback.Periodically serve as the on-call data scientist for production services.QUALIFICATIONS:
Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field.7+ years of full-time professional experience in a related area.7+ years experience applying advanced mathematical and statistical techniques.Significant experience working with time series data, preferably with wearable data applications.Proficiency in scientific Python and SQL.Experience deploying services and maintaining live code in a production environment.Excellent verbal and written communication skills.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary.
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