ABOUT THE ROLE

Peloton is seeking a Senior Data Scientist on the Product Research & Analytics team to support the innovation, iteration, and optimization of our engagement products. This Senior 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 how we can best personalize content to each member.

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 6+ years of overall experience in an analytics capacity with a focus on problem-solving and providing concrete insights (an advanced degree may contribute to years of experience); at least 2+ years experience working directly with product teams
Have solid technical skills when it comes to data wrangling and handling large datasets: expert in SQL for data extraction (including sophisticated joins, CTE, window functions, query optimization), and have a solid understanding of Python syntax required for data cleaning and exploratory analysis (e.g. pandas, numpy)
Have strong experience with A/B testing and have demonstrated experience designing and assessing experiments
Strong command 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
Are comfortable owning 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

**BONUS **

Previous experience working on a product analytics team for a B2C software or software+hardware product
Previous experience working with Personalization teams
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.)

Base Salary: $172,100.00 to $223,800.00

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 more!

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Senior Data Scientist, Product Analytics