Whoop

Data Scientist, Product

Boston, MA · Full-time

Sponsorship not specified$100k-$150kDetected 1 day ago

PythonAlgorithmsSQLSnowflakedbtData EngineeringData ScienceData VisualizationStatisticsA/B TestingResearchLeadershipMentoring

About the role

You'll bring statistical rigor, product intuition, and intellectual curiosity to help teams make faster, smarter, and more impactful decisions.
Algorithms, hardware, health science - you don't need to be an expert, but you should want to understand. - You're a self-starter who thrives in ambiguity and doesn't wait to be told what to work on.
This role is based in the WHOOP office located in Boston, MA.

Design and analyze experiments (A/B tests, quasi-experiments, causal inference methods) to measure the impact of product changes on member outcomes.
Build measurement frameworks and KPIs that quantify product success and surface opportunities for improvement.
Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data.
Develop behavioral models and analyses that deepen our understanding of how members engage with WHOOP across their lifecycle.
Build scalable, self-serve reporting and tooling that lets your stakeholders make decisions without waiting on you.
You use AI tools proactively and hold AI-assisted work to the same bar as your own.
As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
You think in hypotheses: You can take a vague question, frame it as something testable, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people.
You're a strong storyteller: You know how to make a compelling, concise case for action.
You have product sense: You think about the member experience, not just the numbers.

Advanced SQL is table stakes.
Familiarity with modern data stacks (Snowflake, dbt, ELT workflows) and visualization tools (Hex, Sigma, Amplitude, Looker) is a plus.
Python/R for statistical analysis is valued but not required.
You're technically sharp: Advanced SQL is table stakes.

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.

Algorithms, hardware, health science - you don't need to be an expert, but you should want to understand.
Building WHOOP's Health Operating System - health outcomes, clinical features, personalized wellness.

You might know this role as "product analyst," "decision scientist," or "analytics engineer" depending on where you've worked - titles vary wildly across the industry and we care about what you actually do, not what your last company called it. If you've owned metrics end-to-end, designed experiments, and turned ambiguous questions into clear recommendations that shipped product changes, you're who we're looking for.
Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward.
If you've owned metrics end-to-end, designed experiments, and turned ambiguous questions into clear recommendations that shipped product changes, you're who we're looking for.
We're looking for multiple data scientists to work across our product teams.
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.

WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility

This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.