Data Scientist, WHOOP
Sleep
Wearable health and fitness devices
Be an early applicant
Wearable health and fitness devices
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To unlock human performance by helping people find their inner potential.
Role
Who you are
- We’re looking for someone who has experience developing ML models with large datasets in Python and who is excited about the use of wearables in the health and wellness space
- Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master’s preferred
- 2+ years of full-time professional experience in a related area
- 2+ years experience applying advanced mathematical and statistical techniques
- Strong python programming skills and substantial experience with scientific python packages
- A strong interest in improving people’s health and well-being
- Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors is a plus
- Experience deploying services and maintaining live code through logging and monitoring within a production environment is a plus
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office
What the job involves
- As a Data Scientist II on the Sleep Data Science team, you’ll help develop technology at the core of the business – high quality sleep tracking is a fundamental part of the WHOOP experience
- . In collaboration with MLOps, product managers, and research scientists, you'll develop algorithms to transform wearable sensor data into meaningful insights for users to evaluate their sleep
- You’ll work with data from a variety of sources including processed time series data generated by sensors on the WHOOP Strap, data collected from “gold-standard” devices, and data entered manually by WHOOP members via the mobile application
- Using these data sources, as well as drawing upon clinical theory and evidence, you will design, train, and deploy machine learning algorithms to analyze sleep data
- Develop statistical and machine learning models to solve complex problems with data of varying structures
- Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms
- Productionize models and algorithms, monitor model performance and the production service in the field
- Work with MLOps engineers to stand up production backend APIs in Python that pass data through inference pipelines with trained machine learning models
- Reports to the Sleep Data Science Manager
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
Company Specialist at Welcome to the Jungle
Insights
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
Articles
Leadership
Will Ahmed
(CEO)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, Equity & 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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