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 behavio
r
Define and own reporting and interpretation of KPI’s & metrics for workstream, feature launches and A/B test
s
Develop a deep understanding of user personas, fitness routines, and retention drivers for our member
s
Evaluate engagement trends across markets - compare workout/content engagement and feature usage among members within our growing global communit
y
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 journ
ey
Work in a lean and agile way, focusing on team members' desired outcomes over granular tasks and continuously assessing tradeoffs between precision and action-abili
ty
YOU BRING TO PELOT
O
- N
BA/BS degree, preferably in a technical fie
ld
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 supply to years of experienc
e)
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, num
py- )
Have experience with A/B testing and have demonstrated experience designing and assessing experime
nt - s
Have an understanding of statistics and data science methodologies (e.g. hypothesis testing, regressions, and other machine learning techniques such as clusteri
ng - )
Have shown experience defining and owning project success metr
ic - s
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 leaders
hi - p
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 teamma
te - s
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 teamma
te - s
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&n
bs
p
- ;
Previous experience working on a product analytics team for a B2C software or software+hardware pro
du- c
t
Solid understanding of event-based data collection and related technical concepts (e.g. SDK, device vs. cloud mode, schema management) and tools (e.g. Segm
en - t
)
Experience with product analytics SaaS tools (e.g. Amplitude, Mixpanel, Pendo, e
tc - .
)
Experience with social engagement features/products, growth loops, network effects and product virality&n
bs - p
;
Understanding of adjacent quantitative and qualitative research methods and techniques (e.g. usability testing, concept testing, market sizing, e
tc
.)
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 individual performance, 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 mo
re!
Base Salary Range{{:}} $136,300 USD - $177,3
0
0 USD
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ABOUT PELOTO
N
{{:}}
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 immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. 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.onepelo
t
on.com.
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 unloc
k
yours.
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{{:}} applicantaccommodations@onepe
l
oton.com
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s
s.
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p
ondence.
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resumes.