The Role
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. 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 a Senior Data Scientist, you’ll lead development of technology at the core of the business. You’ll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the insights services. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel 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.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
What the Team is Saying
Anahis
Staff Tech Lead - Mechanical Engineering
Josh
Lead Designer
Manan Dedhia
Field Quality Manager
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The Company
What We Do
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
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WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
