E-commerce Data Scientist, Product Analytics

Peloton Peloton · Consumer · Headquarters, NY · Data Analytics

Peloton is seeking a Data Scientist for their Product Analytics team, focusing on E-commerce and App platforms. The role involves analyzing user behavior, optimizing the e-commerce funnel, designing and measuring A/B tests, and influencing product strategy through data storytelling. The ideal candidate will have experience with SQL, Python/R, product analytics tools, and A/B testing principles, with a forward-thinking approach to integrating AI.

What you'd actually do

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

Skills

Required

  • SQL
  • Python or R
  • Amplitude, Segment, or Google Analytics
  • Looker or Tableau
  • A/B testing principles, statistical significance, and experiment evaluation

Nice to have

  • Experience 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)

What the JD emphasized

  • A forward-thinking approach to leveraging the latest AI tech-stack, curious to learn and integrate AI in their workflows