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Sr. Data Scientist, Product Analytics Job Opening In New York – Now Hiring Peloton


Job description

ABOUT THE ROLE

We are looking for a curious and detail-oriented Data Scientist to join our Product Analytics team.

In this role, you will play a key part in shaping product strategy by analyzing how members engage with our platform across their entire lifecycle—from acquisition and onboarding to retention and churn.

Your work will help identify opportunities for growth, inform product and feature prioritization, and guide experiments that improve long-term member value.You’ll collaborate closely with product managers and cross-functional partners to design and interpret A/B tests, develop insights on user behavior, and evaluate the impact of initiatives across multiple touchpoints.

While the focus of this role goes beyond traditional e-commerce analytics, you’ll also draw on those foundations—such as understanding user journeys, purchase behavior, and digital conversion funnels—to inform broader strategic questions.

This may include evaluating pricing dynamics, exploring tiering opportunities, and building a holistic view of what drives sustainable growth.


YOUR DAILY IMPACT AT PELOTON


Analytical Execution & Insights

  • Conduct analysis of web and behavioral data to support key initiatives across subscription, traffic, engagement, conversion and tiered pricing possibilities.


  • Build dashboards and reports to monitor KPIs and identify trends across various funnel

  • Contribute to product and experimentation discussions by analyzing test results and providing data-backed recommendations

  • Collaborate with cross-functional stakeholders to define and measure success metrics
  • Partnership & Collaboration

  • Partner with product managers and business stakeholders to clarify goals and turn them into measurable questions

  • Work closely with other data teams and data engineers to ensure high-quality instrumentation and data access

  • Surface data quality issues or gaps in tracking and propose improvements collaboratively
  • Experimentation & Measurement

  • Support A/B and multivariate test design and post-test analysis with guidance from senior team members

  • Apply best practices in experiment evaluation and help ensure analytical rigor in test interpretation

  • Assist in maintaining and refining experimentation workflows and documentation
  • Communication & Storytelling

  • Translate analysis findings into clear insights and visualizations for stakeholders

  • Contribute to written summaries and presentations that connect data insights to business outcomes

  • Participate in team meetings and brainstorming sessions, offering ideas and contributing to a culture of learning
  • YOU BRING TO PELOTON

  • 4-8 years of experience in data analytics, ideally in a tech, product, or ecommerce environment

  • Proficient in SQL and familiar with at least one scripting/statistical language (e.g., Python, R)

  • Hands-on experience with product analytics tools (e.g., Amplitude, Segment, Google Analytics)

  • Familiarity with dashboarding and data visualization tools (e.g., Looker, Tableau)

  • Understanding of A/B testing principles and statistical significance

  • Exposure to top of the funnels, conversion metrics, and behavioral analysis

  • Strong analytical and problem-solving skills, with attention to detail

  • Clear communicator who can explain data insights to non-technical audiences

  • Team player who thrives in a collaborative, cross-functional environment

  • Eagerness to learn and grow within a high-impact analytics team

  • Bachelor’s or Master’s degree in a quantitative field such as Statistics, Data Science, Economics, Computer Science, or related discipline

  • Prior experience working on ecommerce, digital product, or user engagement analytics

  • Exposure to marketing metrics, attribution, or customer segmentation
  • #LI-SS1
    #LI-Hybrid


    The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters.

    The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes.

    Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.


    As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family.

    To achieve this goal, we offer robust and comprehensive benefits including:

  • Medical, dental and vision insurance 

  • Generous paid time off policy

  • Short-term and long-term disability

  • Access to mental health services

  • 401k, tuition reimbursement and student loan paydown plans

  • Employee Stock Purchase Plan

  • Fertility and adoption support and up to 18 weeks of paid parental leave 

  • Child care and family care discounts

  • Free access to Peloton Digital App and apparel and product discounts

  • Commuter benefits and Citi Bike Discount

  • Pet insurance and so much more!
  • Base Salary Range$173,500—$213,100 USD

    ABOUT PELOTON:


    Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey.

    At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content.

    Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria.

    For more information, visit www.onepeloton.com.


    Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

    Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.

    This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.

    If you would like to request any accommodations from application through to interview, please email: .

    At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members.

    However, in our hiring process, our priority remains in getting to know you and your unique qualifications.

    To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process.

    In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system.

    We also want to directly assess your communication skills without the use of an AI tool.



    Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.


    Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training.

    Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process.

    All genuine job openings will be posted on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ email address.


    If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.


    Peloton does not accept unsolicited agency resumes.

    Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location.

    Peloton is not responsible for any agency fees related to unsolicited resumes.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Peloton adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Sr. Data Scientist, Product Analytics Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Sr. Data Scientist, Product Analytics Job Success

    Peloton interview tips for Sr. Data Scientist, Product Analytics

    Here are some tips to help you prepare for and ace your Sr. Data Scientist, Product Analytics job interview:

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    Research: Learn about the Peloton's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Final Thought:

    To prepare for your Sr. Data Scientist, Product Analytics interview at Peloton, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Peloton's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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