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Senior Data Scientist (Insights)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.


As a Senior Data Scientist, you’ll lead development of technology at the core of the business. You’ll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the insights services. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel insights.


RESPONSIBILITIES:
  • Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics
  • Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation 
  • Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement
  • Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user
  • Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health
  • Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services


QUALIFICATIONS:
  • Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master’s preferred)
  • 5+ years of full-time professional experience in a related area
  • 5+ years experience applying advanced machine learning and statistical techniques
  • Significant experience working with time series data, causal modeling, probabilistic methods
  • Proficiency in scientific Python and SQL
  • Experience deploying services and maintaining live code through logging and monitoring within a production environment
  • Excellent verbal and written communication skills
  • Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software.


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.

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Average salary estimate

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$120000K
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What You Should Know About Senior Data Scientist (Insights), WHOOP

As a Senior Data Scientist at WHOOP in Boston, MA, you'll have the rewarding opportunity to lead the development of cutting-edge technology that drives our mission of unlocking human performance. At WHOOP, we believe in empowering our members through an enhanced understanding of their health and fitness, and your role will be pivotal in achieving that. You'll dive deep into our extensive datasets, working on algorithms that extract valuable insights from wearable metrics and user surveys. Collaborating with our talented production data science team, you'll implement robust services while partnering with MLOps engineers to ensure seamless deployment and continuous enhancement of machine learning models. Plus, you'll have a chance to influence product innovation by conducting research that identifies new ways to harness our data. If you're excited about applying causal modeling and statistical techniques to uncover how behaviors impact health metrics, this is the job for you! The ideal candidate will have a strong background in data science—preferably with a Master’s degree—and several years of practical experience. If you’re a team player with exceptional communication skills and a passion for data-driven decision-making, we’d love to see your application!

Frequently Asked Questions (FAQs) for Senior Data Scientist (Insights) Role at WHOOP
What are the main responsibilities of a Senior Data Scientist at WHOOP?

In the role of Senior Data Scientist at WHOOP, you will be responsible for building statistical models, improving data pipelines, collaborating with MLOps engineers, and conducting research on wearable sensors. Your work will directly influence how we surface health insights to our members, making this role critical in shaping WHOOP's mission of enhancing human performance.

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What qualifications do I need to apply for the Senior Data Scientist position at WHOOP?

To apply for the Senior Data Scientist role at WHOOP, candidates should have at least a Bachelor's Degree in Statistics, Data Science, or a related field, with a Master’s degree preferred. Additionally, a minimum of 5 years of relevant professional experience and demonstrated skills in advanced machine learning techniques and time series data analysis are essential.

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Is experience with machine learning a requirement for the Senior Data Scientist job at WHOOP?

Yes, significant experience applying advanced machine learning and statistical techniques is a key requirement for the Senior Data Scientist position at WHOOP. The ideal candidate will also have a proven track record of deploying services in a production environment.

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Does WHOOP require relocation for the Senior Data Scientist role?

Yes, the Senior Data Scientist position at WHOOP is based in our Boston, MA office, and the successful candidate must be prepared to relocate if necessary. We offer a welcoming work environment and are excited to have new team members join us in our mission.

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What kind of work environment can I expect as a Senior Data Scientist at WHOOP?

WHOOP fosters a diverse and inclusive work environment, encouraging candidates from various backgrounds to apply for the Senior Data Scientist role. We value character as much as experience and maintain a collaborative atmosphere where innovative ideas can thrive.

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Common Interview Questions for Senior Data Scientist (Insights)
Can you explain your experience with causal modeling in data science?

When answering this question, provide specific examples of projects where you utilized causal modeling techniques. Discuss the methodologies you used, the insights gained, and how those insights impacted decision-making or product development.

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How do you approach building predictive models with time series data?

Discuss your understanding of time series analysis, including any specific techniques you have used. Emphasize your method for handling seasonal trends, missing data, and how you validate model performance to ensure accuracy.

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What tools or technologies do you prefer for data analysis, and why?

Mention specific tools like Python, SQL, or data visualization tools you have utilized. Explain how these tools contribute to your data analysis effectiveness and give examples of projects where they played a crucial role.

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Describe a time when you had to work closely with a software engineering team.

Share an experience where collaboration with engineers was essential for deploying a machine learning model or improving a data pipeline. Emphasize the importance of communication and teamwork in achieving project goals.

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How do you ensure the quality and validation of the data you work with?

Highlight your strategies for data validation, such as implementing robust data quality checks or statistical methods. Discuss the importance of data integrity and how it affects model accuracy and reliability.

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What are some challenges you've faced in a data scientist role, and how did you overcome them?

Choose a particular challenge you're comfortable sharing, such as dealing with incomplete data or a complex modeling problem. Detail the steps you took to address the issue and the outcome of your efforts.

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How do you stay current with the latest trends and technologies in data science?

Discuss the resources you use to keep up-to-date, such as online courses, webinars, or data science communities. Mention how applying recent advancements has improved your work.

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What is your experience with deploying machine learning models in production?

Provide insights into the end-to-end deployment process, including tools and frameworks you've used. Discuss how you monitor model performance post-deployment and handle any arising issues.

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Can you describe your experience with health data or wearables?

If applicable, share specific projects you've worked on involving health data or wearables. Discuss any unique challenges associated with this type of data and how you addressed them.

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Why do you want to work at WHOOP as a Senior Data Scientist?

Express your enthusiasm for WHOOP's mission and values. Discuss how your skills and experience align with the company's goals and how you believe you can contribute effectively to the team.

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Our mission at WHOOP is to unlock human performance. We believe that every individual has an inner potential that can be enhanced through continuous monitoring. As such we've built a system across hardware, software, and analytics designed to coll...

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Full-time, on-site
DATE POSTED
March 11, 2025

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