Join leading interactive fitness platform globally Peloton as Data Scientist, Product Analytics in New York New York. At the Peloton you will perform tasks as listed below, Apply Peloton career in New York.
Position : Data Scientist, Product Analytics
Work location : New York, New York
ABOUT THE ROLE
Peloton is seeking a Product Analyst/Data Scientist on the Product Research & Analytics team to support the innovation, iteration, and optimization of our engagement products. This Product Analyst/Data Scientist 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 to three core workstreams, from metrics definition and data instrumentation design to ongoing reporting, investigation, and generative research
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
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 expert on your workstreams: 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
Partner with cross-functional Product and Business teams on research & development efforts related to software improvements and new market expansion
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 (an advanced degree may contribute to years of experience)
Have solid technical skills when it comes to data wrangling and handling large datasets: can use SQL for data extraction (including sophisticated joins, CTE, and query optimization), and have a solid 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 proven experience defining and owning project success metrics
Have a passion for data storytelling via decks and dashboards and a proven ability to efficiently relay your insights to non-technical audiences and senior leadership
Comfortable handling 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, ask good questions, are always excited to learn new methods, approaches, and perspectives, and are eager to investigate exciting 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.)
Understanding of adjacent quantitative and qualitative research methods and techniques (e.g. usability testing, concept testing, market sizing, etc.)
Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, and Australia. Peloton makes fitness entertaining, approachable, effective, and convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, and 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 and wellness content, and best-in-class fitness experts and 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, and 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 and 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: email@example.com
Peloton has a COVID-19 vaccination policy to safeguard the health and well-being of our employees and customers globally. All employees based in the U.S. and Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.
Peloton values the side-by-side collaboration that comes with working together in an office. Our Hybrid Working Policy requires team members in US office-based roles to be in the office every Tuesday, Wednesday and Thursday.
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 firstname.lastname@example.org 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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