Staff Data Science Tech Lead, WHOOP
Training
Wearable health and fitness devices
Job no longer available
Wearable health and fitness devices
1001+ employees
Job no longer available
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
- 7+ years of full-time professional experience in a related area
- 7+ years experience applying advanced mathematical and statistical techniques
- Significant experience working with time series data, preferably with wearable data 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
What the job involves
- As a Staff Data Science Tech Lead on our Training team, you will develop algorithmic features and metrics that capture aspects of daily movement, exercise, and training
- Leveraging various data sources to combine WHOOP data with “gold standard” truth data, as well as drawing upon clinical theory and evidence, you will work with a team of data scientists to design, train, deploy, and maintain machine learning algorithms to provide insights to members on a wide range of topics
- As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services that host data science algorithms
- You’ll partner with the product team to identify new opportunities where we can leverage our large datasets to offer novel insights to our members
- This role will serve as a technical leader for the Data Science Training team but will not directly manage other individual contributors
- In this role you will be responsible for designing, developing, and implementing WHOOP algorithms using large-scale machine learning models
- These models use data collected via the WHOOP Strap and mobile application to capture unique aspects of an individual’s behavior and physiology, helping members achieve their health and fitness goals
- Work closely with a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time
- Conduct literature reviews and research projects to power evidence-based features for Members, continuously improving the teams’ knowledge of physiological and data science methods
- Collaborate with WHOOP Labs and our in-house clinical research team to design novel studies to collect “ground truth” data necessary for training machine learning algorithms
- Create, improve, and maintain production services that provide analysis for movement, exercise, and training in collaboration with MLOps Engineers
- Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
- Mentor other data scientists on the team, regularly providing actionable feedback for more junior data scientists on both technical and non-technical aspects
- Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
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
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
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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