Data Scientist, Product

Posted 4 Hours Ago
Easy Apply
Boston, MA, USA
Hybrid
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
Embed with product teams to design and analyze experiments, build measurement frameworks and behavioral models, create scalable reporting, and translate analyses into actionable product recommendations to improve member outcomes.
Summary Generated by Built In

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.

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.

Skills Required

  • 2-6+ years in a quantitative/product analytics or data science role owning metrics end-to-end
  • Advanced SQL proficiency
  • Experience designing and analyzing experiments (A/B tests, quasi-experiments, causal inference)
  • Ability to build measurement frameworks, KPIs, and scalable self-serve reporting/tools
  • Strong storytelling and ability to communicate actionable recommendations to non-technical stakeholders
  • Product sense and experience translating analyses into shipped product changes
  • Proactive use of AI tools and maintaining quality of AI-assisted work
  • Familiarity with modern data stacks (Snowflake, dbt, ELT workflows)
  • Familiarity with visualization/analytics tools (Hex, Sigma, Amplitude, Looker)
  • Python or R for statistical analysis

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Parental & Family Support Parental leave is described as generous, with an additional transition period to support return-to-work. Feedback suggests this policy stands out within the overall package.
  • Wellbeing & Lifestyle Benefits Wellness stipends, free WHOOP memberships (including a giftable one), a sleep-performance cash incentive, daily meals, and access to onsite gym and recovery tools create a lifestyle-oriented offering. Feedback suggests these perks meaningfully enhance the total rewards experience beyond base pay.
  • Equity Value & Accessibility Equity participation and stock option eligibility are highlighted, and ownership is portrayed as rewarding as the company grows. Feedback suggests this sense of ownership positively influences perceptions of compensation.

WHOOP Insights

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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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