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Peloton // connected indoor fitness cycles
Engineering, Full Time    New York, New York    Posted: Monday, August 08, 2022
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Producing world-class fitness content which often showcases a wide variety of the worlds top music artists is a key differentiator for our members at Peloton! Great content is a pathway to increasing the level of engagement of our members & supporting the business in the acquisition of new members & expansion into new markets. 

With millions of members taking tens of millions of workouts a month across a diverse offering of fitness modalities, instructors & languages understanding how to meet the demands of our highly-engaged members can only be achieved efficiently through data & insights. As the Senior Data Scientist for Content & Music you will play a key role in the design & provision of the information our leaders need to make decisions & take the lead in identifying trends & actions that will help our team deliver the company goals. You will not only deliver standard outputs, building data sets, run analyses, share insights & create analytics but be a great teammate, preferably with previous Content side analytic experience who enjoys & thrives in a fast paced, cross-functional environment, can manage a diverse project portfolio, loves working & learning in a new & evolving technology sector & enjoys being a key part of a large operational team!

This is a role in the new Business Strategy group within Content & Music & your insights & discoveries will lead to the evaluation of the success of all of our business as usual & critical initiatives & directly advise our investment & production decisions.


  • Research & document all data sources relevant to content & build & maintain a master entity relationship diagram to act the primary reference for content insights
  • Review pre-existing reports & queries & cross-reference filters & logic to create a library of rules & policies for ensuring consistent results are generated
  • Audit the accuracy, relevance & use of existing content related dashboards, queries & reports & implement a retain, update or decommission process
  • Engage with content leaders & cross-functional partners to extract a set of requirements for insights & regular reporting
  • Review all content division initiatives & design insights, data & reports that would prove the value of each initiative & track the success criteria
  • Evaluate the scope of data & solutions & design & implement the solution set & data architecture to deliver the business requirements
  • Work with the central data science team to agree resourcing & roles & responsibilities for the publishing of the data required to meet the business requirements
  • Create & maintain the library of reports & dashboards & automate the publishing or refresh of self serve reporting to stakeholders
  • Increase the frequency of reporting to track the performance of business as usual functional programs or new critical initiatives to advise changes to the strategy
  • Ensure the processes & policies put in place for member engagement with content are applied to all content insights & work with other team members to implement them
  • Act as the content team lead in the creation of a working group for standards & best practices on data across data science & peers in other divisions 


  • Experience in data analysis & / or trend identification in subscriber behavior preferably in relation to content, fitness or media
  • Experience of delivering insights & reporting directly to senior executives & across multiple divisions in a comparably sized organization
  • Experience of all stages of the insights journey from data query, analysis, presentation of results, drawing conclusions & making recommendations
  • Experience of delivering to multiple collaborators & the prioritization & delivery of requests in line with the objectives of the division
  • Direct experience or working knowledge of some or all of the technologies within the technology requirements section of this job description & ability to demonstrate past experience of adopting new technologies
  • Experience of designing sophisticated queries & algorithms that can be used to generate new datasets based on source data using business logic



Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, & Australia. Peloton makes fitness entertaining, approachable, effective, & convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, & media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness & wellness content, & best-in-class fitness experts & Instructors.

At Peloton, we motivate the world to live better. Together We Go Far means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, & so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer & committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:

Peloton has a COVID-19 vaccination policy to safeguard the health & well-being of our employees & customers globally. All employees based in the U.S. & Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.
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