At WHOOP, we're on a mission to unlock human performance by empowering members with a deep understanding of their bodies and daily routines. As a member of the Data Science team, you will develop data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, and physiology experts will be integral to your role.

This is a new role on the team where you will be responsible for large-scale, cross-functional collaboration projects powering personalized experiences while coaching and mentoring teammates in Data Science.

RESPONSIBILITIES:

Create exceptional Member experiences by designing, developing, and implementing large-scale ML and AI models that underpin personalized insights and guidance toward health and fitness goals. Your work will set the bar for the entire Data Science team
Ship high-quality, high-impact Member experiences by acting as a strong collaborative partner to Product, Software, and other key teams, working through any cross-functional complexities that arise
Operate comfortably with the ambiguous Member and technical problems we face, providing guidance and evidence-backed solutions to move the work forward
Leverage advanced statistical and machine learning techniques, including data embeddings and transformers, to analyze high-dimensional datasets, effectively distinguishing meaningful patterns from noise
Be an active mentor and technical leader to data science and ML practitioners within Whoop, working closely with Data Science leadership to create a strong learning environment for the team
Promote and model best practices for the design and implementation of ML model development, testing, evaluation, etc., both inside the team and throughout Whoop. Keep an eye on balancing Member needs and business needs (e.g., cost-effectiveness)

QUALIFICATIONS:

8+ years of experience in end-to-end model creation, from training and evaluating to deploying in a production environment, with a philosophy to ship and iterate
Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
Experience with high-dimensional data, with expertise in data embeddings and transformer models
Proven hands-on experience with advanced statistical models and production machine learning systems (e.g., representation learning, causal inference, deep learning) using Python
Excellent coding skills in Python (including object-oriented programming) and SQL
Strong communication, teamwork, and project management skills
Ability to convey complex technical concepts to both technical and non-technical stakeholders
Passion for emerging technologies and strong analytical and problem-solving skills
Commitment to agile software processes, data-driven development, reliability, and disciplined experimentation
Domain knowledge in human physiology, exercise physiology, or athletic experience is a plus

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.

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