Location: Boston, MA

Team: Data Science & Research

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP uses algorithms, rich data, and real-time machine learning to empower its members through actionable biometrics, coaching, and a deeper understanding of their bodies and lives. It is popular among Olympic athletes, Navy SEALs, healthcare, and Fortune 500 CEOs.

As a Senior Data Scientist on the Algorithms team, you’ll mentor junior data scientists and contribute to the technology at the core of WHOOP’s business. Our team uses a wide variety of statistical and data science techniques to interpret user behaviors, health, and physical activities, using time series physiological data. Working in a brand new corporate headquarters, your collaborators will include physiology experts, data scientists, and software engineers. Your solutions will become member-facing product features that, out of the gate, will meaningfully impact the health and fitness of huge numbers of people.

RESPONSIBILITIES

• Develop advanced machine learning models and algorithms for product features. These algorithms will often run on streaming or time-series sensor data
• Research, prototype, deploy and own time series algorithms and predictive models, such as classification, forecasting, anomaly detection, change-point detection and signal processing using both conventional and deep learning techniques
• Deploy the models and algorithms in production after testing and documenting the APIs
• Communicate results to technical and non-technical stakeholders
• Identify and build new datasets to enhance the models and decision making
• Work closely with product managers and engineers to translate prototypes into production-ready code that maximizes member-value
• Reports to the Data Science - Algorithms, Technical Lead

QUALIFICATIONS

• Graduate degree, or a bachelor's degree with 3-5 years professional experience, in Mathematics, Statistics, Computer Science, Electrical Engineering, Physics, or a related field
• Demonstrable experience in full stack data science, including developing and deploying machine learning models in a production environment
• Experience exploring and training models with big datasets, using cloud technologies (Kubernetes, AWS, GCP, Azure)
• Significant experience working with time series data is preferred. Prior experience with Python-based libraries for time series, such as tsfresh, sktime and Prophet, and deep learning architectures like InceptionTime and other 1D Convolutional Neural Networks will be a plus!
• Experience tuning machine learning classification models for better precision or recall
• Proficient in scientific Python (NumPy, SciPy, scikit-learn, Pandas, XGBoost), SQL, and version control (GitHub)
• Ability to formulate hypotheses, draw conclusions and deliver results
• Excellent verbal and written communication and interpersonal skills
• Ability to present findings to stakeholders and communicate results to all colleagues
• Understanding of physiology or athletic experience is a huge plus

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

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.