Data Scientist (Analytics) - L24

Role Overview

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. We are seeking a Data Scientist (Analytics) to join the eBay Live Buyer Experience team, supporting eBay’s real-time livestream shopping experience across categories such as Collectibles, Luxury, Sneakers, and Apparel. This is a hands-on individual contributor role focused on shaping the buyer experience through product analytics and experimentation.

Responsibilities

• Own product analytics for key areas of the eBay Live buyer journey, including discovery, viewing, engagement, bidding, purchasing, and retention.
• Partner with Product and Engineering teams to define success metrics, KPIs, and guardrails for new features and experiences.
• Design, analyze, and interpret A/B tests and controlled experiments, ensuring statistical rigor and clear decision criteria.
• Apply advanced measurement approaches, including causal inference and quasi-experimental methods.
• Conduct deep-dive product analyses using funnels, cohorts, segmentation, and behavioral analysis.
• Identify friction points and growth opportunities and translate findings into actionable product recommendations.
• Build scalable dashboards, measurement frameworks, and self-service analytics.
• Partner with engineering teams to improve instrumentation, event tracking, and data quality.
• Communicate analytical findings clearly to cross-functional stakeholders.

Requirements

• 4–8 years of experience in data science, product analytics, or related analytics roles.
• Strong proficiency in SQL and Python.
• Strong hands-on experience with product analytics and A/B testing.
• Solid understanding of statistics, experimental design, hypothesis testing, and causal measurement.
• Experience analyzing large-scale behavioral, transactional, or event-level data.
• Strong analytical problem-solving skills and ability to structure ambiguous questions.
• Strong communication skills and ability to work with cross-functional teams.

Preferred Qualifications

• Experience with e-commerce, marketplaces, consumer technology, or real-time products.
• Experience with causal inference or advanced experimentation methodologies.
• Exposure to machine learning, segmentation, personalization, or recommendation use cases.
• Experience working in an early-stage or rapidly scaling product environment.
• Interest in leveraging AI and automation to improve analytics workflows.

Skills

• SQL
• Python
• A/B Testing
• Product Analytics
• Causal Inference