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Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.
We are seeking a Business Data Scientist II to support our Lifecycle Marketing team. This role is focused on building statistical and machine learning models that help WHOOP grow its business by acquiring, engaging, retaining, and upselling members.
This position is centered on rapid experimentation, measurable business impact, and continuous iteration. You’ll take on ambiguous marketing problems, design and build MVP models, and quickly test and refine them. Example projects include applying multi-armed bandit approaches to optimize push and web experiences.
RESPONSIBILITES:
- Identify and scope opportunities where data science can drive member acquisition, engagement, retention, and upsell.
- Build, validate, and iterate on statistical and machine learning models to solve core marketing problems (e.g., optimizing lifecycle marketing messages).
- Drive novel model ideation and development, rapidly prototyping MVPs locally for testing and iteration.
- Partner with Software Engineers and ML Ops to deploy robust inference models into production, ensuring solutions are scalable, maintainable, and integrated into WHOOP’s digital experiences.
- Collaborate with Marketers, Analysts, and Engineers to design, implement, and evaluate experiments that inform product and business strategy.
- Stay at the forefront of emerging technologies in AI, machine learning, and experimentation, applying them to WHOOP’s most impactful challenges.
- Communicate findings and recommendations clearly to technical and non-technical stakeholders, translating complex analyses into actionable insights.
REQUIREMENTS:
- 2–4 years of experience in a data science role (ideally in consumer tech, e-commerce, or subscription-based businesses).
- Strong statistical modeling and machine learning background, with experience in predictive modeling, classification, clustering, or recommendation systems.
- Proficiency in Python as the primary language for analysis and modeling, with strong SQL skills for working with large datasets.
- Ability to build reproducible, production-ready pipelines and experience collaborating with engineers and ML Ops teams to deploy and monitor models in production.
- Hands-on experience with experimentation frameworks (A/B testing, multi-armed bandits, causal inference) and interpreting results in a business context.
- Strong business acumen; able to translate ambiguous business problems into data science approaches.
- Comfort balancing rigor with pragmatism — prioritizing speed, MVPs, and iteration.
- Excellent communication and collaboration skills.
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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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 $125,000 - $175,000. 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.
Learn more about WHOOP.
Top Skills
A/B Testing
Causal Inference
Machine Learning
Mlops
Multi-Armed Bandits
Python
SQL
Statistical Modeling
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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