Senior Data Scientist (Sleep)

Posted 12 Days Ago
Easy Apply
Boston, MA
Hybrid
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
The Role
As a Senior Data Scientist at WHOOP, you will develop and maintain algorithms for sleep analysis, collaborating closely with MLOps engineers and data engineers. You will conduct research on wearable sensor data to enhance sleep features and design studies to improve algorithm performance, while also occasionally handling production incidents.
Summary Generated by Built In

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 a Senior Data Scientist, you’ll lead development of 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 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:

  • 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
  • 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 Degree preferred
  • 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
  • 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

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.

Top Skills

Python
SQL

What the Team is Saying

Alec
Ellen
Anahis
Josh
Saif
The Company
HQ: Boston, MA
500 Employees
Hybrid Workplace
Year Founded: 2011

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.

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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
HQBoston, MA

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