Data Scientist, Product Analytics - job 1 of 2
ABOUT THE ROLE
Peloton is seeking a Data Scientist on the Product Analytics team to support the innovation, iteration, and optimization of our engagement products! This Data Scientist, Product will work as part of a cross-functional team of Product Managers, Engineers, Designers, and User Researchers to better understand how members are interacting with Peloton products and to inform and evaluate new features and experiences developed by the Product team.
YOUR DAILY IMPACT AT PELOTON
- Own analytics for one core workstream on Peloton digital apps, from metrics definition and data instrumentation design to ongoing reporting, investigation, and generative research
- Be a key contributor to strategic decisions and roadmap formation for workstream
- Collaborate with Product Managers, User Researchers, Designers, and Engineers to lead experimentation processes: designing and measuring A/B tests that help us understand the impact of new/alternate versions of features on user behavior
- Define and own reporting and interpretation of KPI’s & metrics for workstream, feature launches and A/B tests
- Develop a deep understanding of user personas, fitness routines, and retention drivers for our members
- Evaluate engagement trends across markets - compare workout/content engagement and feature usage among members within our growing global community
- Become an authority on your workstream: provide insight into behaviors and difficulties of members on their journey from app download through sustained long-term engagement; help guide roadmap and evaluation of new features to enhance this user journey
- Work in a lean and agile way, focusing on team members' desired outcomes over granular tasks and continuously assessing tradeoffs between precision and action-ability
YOU BRING TO PELOTON
- BA/BS degree, preferably in a technical field
- Have 3+ years of overall experience in an analytics capacity with a focus on problem-solving and providing concrete insights; some experience conducting analysis with a product/UX focus is desirable
- Over one year of experience working on external customer facing Product is a required.
- Have solid technical skills when it comes to data wrangling and handling large datasets: can use SQL for data extraction (including sophisticated joins, CTE, window functions and query optimization), and have a proven understanding of Python syntax required for data cleaning and exploratory analysis (e.g. pandas, numpy)
- Have experience with A/B testing and have demonstrated experience designing and assessing experiments
- Have an understanding of statistics and data science methodologies (e.g. hypothesis testing, regressions, and other machine learning techniques such as clustering)
- Have shown experience defining and owning project success metrics
- Have a passion for data storytelling via decks and dashboards and a shown ability to efficiently communicate your insights to non-technical audiences and senior leadership
- Are comfortable leading your project timelines, prioritizing tasks with user and business impact in mind, assessing speed/precision tradeoffs, and proactively communicating project statuses to collaborators and teammates
- Work well collaboratively, both in a cross-functional context - with Product Managers, Project Managers, User Researchers, Designers, and Engineers - and as a part of joint research projects with Product Analytics teammates
- Are curious and humble: ask good questions, are always excited to learn new methods, approaches, and perspectives, and are eager to investigate interesting trends in the data
- Previous experience working on a product analytics team for a B2C software or software+hardware product
- Solid understanding of event-based data collection and related technical concepts (e.g. SDK, device vs. cloud mode, schema management) and tools (e.g. Segment)
- Experience with product analytics SaaS tools (e.g. Amplitude, Mixpanel, Pendo, etc.)
- Experience with social engagement features/products, growth loops, network effects and product virality
- Understanding of adjacent quantitative and qualitative research methods and techniques (e.g. usability testing, concept testing, market sizing, etc.)
#LI-Hybrid
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The base salary range represents the low and high end of the anticipated salary range for this position based at either our New York City headquarters or Santa Clara office. 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!
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: [email protected].
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 here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com 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 [email protected] 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.
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Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.
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