Description
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 by providing a deep understanding of their bodies and daily lives.
As a Data Scientist on our Women’s Health team, you will develop algorithmic features and metrics that impact Women’s health initiatives. By 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.
RESPONSIBILITIES:
- 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 production service in the field
- Work with software engineers and MLOps engineers to stand up production backend applications in Python that pass data through inference pipelines.
QUALIFICATIONS:
- Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Artificial Intelligence, Computer Science, or a related field
- 1+ years of full-time professional experience in a related area
- 2+ years experience applying advanced machine learning and statistical techniques
- Strong python programming skills and substantial experience with scientific python packages
- A strong interest in improving health and well-being through wearable technology
- Preferred Qualification: Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors
- Preferred Qualification: Experience deploying services and maintaining live code through logging and monitoring within a production environment
- Preferred Qualification: Knowledge of women’s health and physiology, including reproductive health, menstrual cycles, and related biometrics
- Preferred Qualification: Knowledge of software development processes and the software lifecycle.
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.
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