Data Science Technical Lead, WHOOP

Sleep

Salary not provided
SQL
Python
Senior level
Boston

More information about location

WHOOP

Wearable health and fitness devices

Open for applications

WHOOP

Wearable health and fitness devices

501-1000 employees

B2CPersonal healthFitnessData AnalysiseCommerce

Open for applications

Salary not provided
SQL
Python
Senior level
Boston

More information about location

501-1000 employees

B2CPersonal healthFitnessData AnalysiseCommerce

Company mission

To unlock human performance by helping people find their inner potential.

Role

Who you are

  • 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

What the job involves

  • 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
  • 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

Our take

WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.

By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.

WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

1% employee growth in 12 months

Company

Funding (last 2 of 8 rounds)

Aug 2021

$200m

SERIES F

Oct 2020

$100m

SERIES E

Total funding: $404.8m

Company benefits

  • TAKE TIME OFF: Our PTO plan encourages members to take time off in order to come back refreshed.
  • LIVE A HEALTHY LIFESTYLE: Our benefits package includes premium medical, dental, and vision coverage for employees and their dependents. Life and disability insurance are also available.
  • FEEL INVESTED: 401k and stock options to share in the future of WHOOP.
  • EAT WELL: Keep hunger at bay with endless snacks in our fully stocked kitchen. Enjoy catered team lunches on Friday, and even a cold brew keg.
  • KNOW THE PRODUCT: We offer you a WHOOP strap and membership at no cost.
  • BE ACTIVE: Take advantage of our office gym and on-site showers, as well as a $500yearly wellness perk for fitness classes and memberships.
  • BE PRESENT: Take care of your loved ones with 12 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
  • LOVE WHERE YOU WORK: Sitting in the heart of Fenway, our beautiful office overlooks Fenway Park. A prime location for great food, not to mention catching a Sox game, too!
  • WORK HARD, PLAY HARDER: If we don't already have a club here that fits your lifestyle and interests, you're encouraged to start one. Share your passions with others at work, or discover new ones!

Company values

  • Our work is grounded in research, design, and privacy
  • At WHOOP, the best idea wins
  • We have a bias for action
  • We operate at the intersection of high intensity and high humility
  • Our differences are a source of strength
  • We are obsessed with the member experience

Company HQ

West Fens, Boston, MA

Founders

Studied at Harvard. Worked as a Summer Analyst at Allen & Company and at Lindsay Goldberg. Founded Whoop in their final year.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

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Diversity & Inclusion at WHOOP

  • Under the umbrella of Inclusivity & Belonging, WHOOP operates a number of Employee Resource Groups (ERGs), including; Black at WHOOP, WHOOP GOOP (LGBTQ+), Women of WHOOP, Veterans & Military personnel, Adapt (Abled & Disabled Allies Partnering Together), and Wise (Women In Science & Engineering) .

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