Director of Data Science
Posted on 7/19/2023

501-1,000 employees

Wearable performance & optimization technology
Company Overview
Whoop’s mission is to unlock human performance though tapping into every individual owner's potential which can be enhanced through continuous monitoring. The company has built a system across hardware, software, and analytics designed to collect and analyze the most important data on the human data.
Consumer Goods

Company Stage

Series F

Total Funding





Boston, Massachusetts

Growth & Insights

6 month growth


1 year growth


2 year growth

Cambridge, MA, USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
Data & Analytics
  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
  • 8+ years of full-time professional experience in a related area
  • 2+ years of success leading a team of diversely skilled data scientists with a demonstrated ability to lead and inspire a team of data scientists
  • Experience managing managers and growing leaders
  • High bar for quality and commitment to delivering a world-class experience
  • Consistently positive attitude, highly self-motivated, and able to inspire others to do their best work across the company
  • Ability to zoom out and do thoughtful strategic work yet also roll up your sleeves and zoom into important details
  • Expertise in scientific Python, proficiency in data manipulation, analysis, and visualization libraries; deep knowledge of statistical modeling techniques and machine learning algorithms
  • Excellent verbal and written communication skills
  • Excitement to work in a high energy, high growth startup environment
  • Understanding of exercise physiology or athletic experience is preferred
  • Lead a team of data scientists, providing guidance, mentorship, and professional development
  • Collaborate with your technical leaders and product leadership to strategize, roadmap, prioritize, and execute on team deliverables
  • Coordinate complex data science initiatives across the company
  • Communicate results to technical and non-technical stakeholders
  • Develop, manage and scale the teams and their processes; evangelize these processes and best practices across the organization
  • Identify technology gaps and work with the Director of ML Platform to scope solutions that increase team efficiency
  • Identify new research areas and emerging technologies with potential applications to WHOOP's data science initiatives
  • Collaborate with engineering teams to integrate data science models into production systems
  • Define and monitor key performance indicators (KPIs) to measure the effectiveness of data science initiatives and track progress towards goals
  • Understand how our work impacts the business at large and communicate this back to the team
  • Reports to the SVP of Data Science and Research