Data Scientist, Product Analytics at Peloton | United States | Rezi

Data Scientist, Product Analytics at Peloton

Data Scientist, Product Analytics

Peloton · United States

2 months ago

Data Scientist, Product Analytics

Peloton · United States

2 months ago
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About the Role

Peloton is evolving into a comprehensive wellness ecosystem, powered by innovation and data, to empower its global community to lead healthier lives. The Product Analytics team delivers strategic insights, reporting, and A/B testing to inform the product roadmap. This role focuses on driving member engagement through habit formation, evaluating product experiences, measuring impact, uncovering insights, and shaping product strategy to improve member behavior and long-term retention.

Responsibilities

  • Own analytics for habit formation engagement features, defining success metrics and surfacing insights for product decisions.
  • Partner with Product Managers and Designers to build, launch, and measure A/B tests.
  • Create compelling data narratives to influence senior stakeholders and guide strategic direction.
  • Translate member behavior into actionable insights to improve retention and long-term engagement.
  • Advocate for clean, consistent data instrumentation and support experimentation best practices.

Requirements

  • 3-5 years of analytics experience, with a focus on product or UX analytics.
  • Fluency in SQL and comfort with Python (e.g., pandas, numpy) for data exploration.
  • Experience designing, analyzing A/B tests, and interpreting results with statistical rigor.
  • Proven ability to influence product strategy through compelling data storytelling.
  • Comfort working autonomously and collaboratively in a fast-paced, agile environment.
  • Curiosity, humility, and a user-first mindset.

Skills

  • Product analytics
  • UX analytics
  • SQL
  • Python (pandas, numpy)
  • A/B testing design and analysis
  • Statistical rigor
  • Data storytelling
  • Amplitude
  • Mixpanel
  • Segment
  • Consumer tech background
  • Hardware/software products background
  • Mobile-first experiences background
  • Large language models (LLMs) for analysis or workflow acceleration

Location

  • New York City
  • Hybrid

Work Type

  • Hybrid

Experience Level

  • 3-5 years of analytics experience

Salary/Compensations

  • $140,400 - $166,100 USD

Benefits

  • Medical, dental and vision insurance
  • Generous paid time off policy
  • Short-term and long-term disability
  • Access to mental health services
  • 401k
  • Tuition reimbursement
  • Student loan paydown plans
  • Employee Stock Purchase Plan
  • Fertility and adoption support
  • Up to 18 weeks of paid parental leave
  • Child care and family care discounts
  • Free access to Peloton Digital App
  • Apparel and product discounts
  • Commuter benefits
  • Citi Bike Discount
  • Pet insurance

About the Company

  • Peloton (NASDAQ: PTON) provides members with expert instruction and world-class content for impactful workout experiences.
  • It combines innovative hardware, distinctive software, and exclusive content.
  • Founded in 2012 and headquartered in New York City, Peloton serves millions of members across the US, UK, Canada, Germany, Australia, and Austria.

Equal Opportunity

  • Peloton is an equal opportunity employer, complying with all applicable federal, state, and local fair employment practices laws.
  • All team members, applicants, and covered persons are considered based on personal capabilities and qualifications without discrimination due to protected characteristics.
  • This policy applies to all practices and procedures related to recruitment, hiring, compensation, benefits, termination, and other employment terms.
  • Accommodations for the application and interview process can be requested via applicantaccommodations@onepeloton.com.
  • Peloton does not permit the use of AI tools during any stage of the application and interview process to ensure a fair and equitable assessment of skills, experiences, motivations, and communication.
  • Qualified applicants with arrest or conviction records will be considered in accordance with applicable Fair Chance Ordinances (Los Angeles County, City of Los Angeles, San Francisco) and the California Fair Chance Act.