Data Scientist, Product

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Design and analyze experiments (A/B tests, quasi-experiments, causal inference methods) to measure the impact of product changes on member outcomes.

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Build measurement frameworks and KPIs that quantify product success and surface opportunities for improvement.

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Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data.

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Develop behavioral models and analyses that deepen our understanding of how members engage with WHOOP across their lifecycle.

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Build scalable, self-serve reporting and tooling that lets your stakeholders make decisions without waiting on you.

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Proactively surface insights and recommendations that go beyond the ask — identify opportunities others haven't seen yet.

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Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward. We're looking for multiple data scientists to work across our product teams. During the interview process, we'll work with you to find the right team fit based on your interests and strengths:

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AI Product: The future of intelligent coaching and personalized insights powered by AI/ML.

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Algorithms: Where the science meets the product — sleep, recovery, strain, and how algorithmic outputs translate into member value.

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Hardware Product: The physical device experience — sensors, wearability, and next-gen hardware.

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Healthcare Product: Building WHOOP's Health Operating System — health outcomes, clinical features, personalized wellness.

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring Data Scientists to embed across the product organization and drive decisions through rigorous measurement, experimentation, and causal inference.

You'll partner with product teams across Healthcare, Algorithms, AI, Hardware, and other product areas to design experiments, build measurement frameworks, model user behavior, and translate complex analyses into clear recommendations that improve the member experience. You'll bring statistical rigor, product intuition, and intellectual curiosity to help teams make faster, smarter, and more impactful decisions.

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 The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.

The U.S. base salary range for this full-time position is $100,000 - $150,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.