Data Scientist, Product

RESPONSIBILITIES

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.

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

Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward.

ABOUT YOU

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.

You've done this before: 2–6+ years in a quantitative role where you owned business-critical metrics or initiatives. (We're hiring across levels; we'll figure out the right fit together.)

You use AI tools proactively and hold AI-assisted work to the same bar as your own.

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're technically sharp: 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 have product sense: You think about the member experience, not just the numbers.

You're curious about how things work. 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.

TEAMS WE'RE HIRING FOR

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:

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

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

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

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