The Ecommerce Product Analytics team at Peloton is looking for a Data Scientist to analyze user behavior and interpret A/B test results to improve user experience, conversion rates, and overall e-commerce performance.
Requirements
- Proficient in SQL and familiar with at least one scripting/statistical language (e.g., Python, R)
- Hands-on experience with product analytics tools (e.g., Amplitude, Segment, Google Analytics)
- Familiarity with dashboarding and data visualization tools (e.g., Looker, Tableau)
- Understanding of A/B testing principles and statistical significance
- Exposure to ecommerce funnels, conversion metrics, and behavioral analysis
- Prior experience working on ecommerce, digital product, or user engagement analytics
- Exposure to marketing metrics, attribution, or customer segmentation
Responsibilities
- Conduct analysis of web and behavioral data to support key initiatives across traffic, engagement, and conversion
- Build dashboards and reports to monitor KPIs and identify trends across the ecommerce funnel
- Contribute to product and experimentation discussions by analyzing test results and providing data-backed recommendations
- Collaborate with cross-functional stakeholders to define and measure success metrics
- Work closely with other data teams and data engineers to ensure high-quality instrumentation and data access
- Support A/B and multivariate test design and post-test analysis with guidance from senior team members
- Apply best practices in experiment evaluation and help ensure analytical rigor in test interpretation
Other
- 4-8 years of experience in data analytics, ideally in a tech, product, or ecommerce environment
- Strong analytical and problem-solving skills, with attention to detail
- Clear communicator who can explain data insights to non-technical audiences
- Team player who thrives in a collaborative, cross-functional environment
- Eagerness to learn and grow within a high-impact analytics team
- Bachelor’s or Master’s degree in a quantitative field such as Statistics, Data Science, Economics, Computer Science, or related discipline
- Do not permit the use of AI tools during any stage of the application and interview process.
