ABOUT THE ROLE
As a data scientist, you’ll be responsible for understanding our business through data, uncovering the latest interesting insights, and applying them to the business in ways that achieve transformative impact. You’ll be the voice of data for the Supply Chain and Global Member Support organizations informing their understanding of what drives member satisfaction and operational efficiency with a focus on measurable results. As part of the Data Science team you’ll work with data scientists, analysts, and engineers that interface with the entire company, cross-pollinating analytic and business insights to the benefit of all Peloton members and employees.
YOUR DAILY IMPACT AT PELOTON
Want more jobs like this?
Get jobs in New York, NY delivered to your inbox every week.
- Influence and advise the business on how to optimize operations using data and insights
- Perform deep dive analysis to answer core business questions
- Collaborate with cross-functional partners on measurement strategy, data collection
- Define the data capabilities required for ongoing reporting across the organization
- Build and maintain data driven optimization models, experiments, forecasting algorithms, and machine learning models
- Create dashboards and alerting to align teams around the core business performance metrics for Supply Chain and Global Member Support.
- Communicate recommendations clearly and concisely, seek buy-in from stakeholders, and drive decision making
YOU BRING TO PELOTON
- Master’s degree in Stats, Econ, Bus Admin, Data Sci, Data Analytics, or a rel field (or Bachelor’s degree with 5+ years experience)
- Minimum of 3+ years proven business experience and technical expertise in data science
- Experience with Machine Learning, Statistics, or other data analysis tools and techniques
- Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
- Experience analyzing data with SQL, Python and/or R
- Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
- Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
- Proactive and self-motivated, and can work autonomously with strong organizational and time management skills
- Start-up experience a plus
- Understanding of analytic and optimization best practices around logistics, manufacturing, and customer service operations
#LI-AC1
#LI-Hybrid
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:
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 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.onepeloton.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 unlock 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@onepeloton.com
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 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.