Job Summary

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.

As eBay Live continues to scale, this role will help shape the buyer experience through product analytics and experimentation. You will partner closely with Product, Engineering, Design, and business teams to understand buyer behavior, evaluate current experiences, and identify opportunities to improve discovery, engagement, conversion, and retention.

This is a hands-on individual contributor role for someone who enjoys working with large behavioral datasets, designing rigorous experiments, and translating analysis into actionable product recommendations.

Key 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, when traditional A/B testing is not feasible.
- Conduct deep-dive product analyses using funnels, cohorts, segmentation, behavioral analysis, and other statistical techniques.
- Identify friction points and growth opportunities across the buyer journey and translate findings into actionable product recommendations.
- Build scalable dashboards, measurement frameworks,



and self-service analytics that enable faster product decision-making.
- Partner with engineering teams to improve instrumentation, event tracking, and data quality.
- Communicate analytical findings clearly to Product, Engineering, Design, and business stakeholders.

Required Qualifications

- 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 translate complex analysis into clear product recommendations.
- Experience working effectively with cross-functional Product and Engineering 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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