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E-commerce Data Scientist, Product Analytics

Peloton•New York, NY
•Hybrid
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About The Position

Peloton is seeking a Data Scientist to join their Product Analytics team, focusing on E-commerce and App platforms. This role is for an individual who can transform complex data into clear, strategic recommendations to enhance user experience, conversion rates, and digital performance. The Data Scientist will collaborate with Product, Engineering, and Design teams to drive innovation and optimize member engagement within the digital ecosystem. The Product Analytics team provides strategic insights, reporting, and A/B testing to guide the product roadmap and optimize product strategy for profitable member engagement growth.

Requirements

  • 3–5 years of analytics experience, ideally in a tech, digital product, or e-commerce environment.
  • Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Computer Science).
  • Fluency in SQL and comfort with Python or R for data exploration and analysis.
  • Hands-on experience with product analytics tools such as Amplitude, Segment, or Google Analytics.
  • Experienced with visualization tools like Looker or Tableau.
  • Strong understanding of A/B testing principles, statistical significance, and experiment evaluation.
  • Proven ability to influence strategy through data storytelling.
  • Comfort working autonomously and collaboratively in a fast-paced, agile environment.
  • A user-first mindset and a passion for turning insights into business outcomes.
  • A forward-thinking approach to leveraging the latest AI tech-stack, curious to learn and integrate AI in their workflows.

Responsibilities

  • Conduct deep-dive analyses of web and behavioral data to support initiatives across the e-commerce funnel, including traffic, engagement, and conversion.
  • Own analytics for core engagement features - from defining success metrics to surfacing insights that drive the product roadmap.
  • Partner with PMs to design, launch, and measure A/B and multivariate tests with statistical rigor.
  • Translate member behavior into compelling narratives and visualizations that influence senior stakeholders and guide strategic direction.
  • Build and maintain dashboards to monitor KPIs and identify trends across the e-commerce and app landscapes.
  • Surface data quality issues and advocate for clean, consistent data instrumentation and experimentation best practices.

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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

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