user experience and business performance.
Key Responsibilities
Design, implement, and analyze A/B tests to evaluate product features and AI-powered
experiences
Define success metrics, measurement frameworks, and experimentation strategies to
support product development and launches
Analyze user behavior, product funnels, and engagement patterns to find opportunities
to improve seller activation, efficiency, and success
Partner closely with Product and Engineering teams to inform roadmap prioritization,
feature design, and iteration decisions
Conduct deep-dive analyses to understand performance across seller segments,
categories, and product workflows
Build scalable data pipelines, dashboards, and monitoring tools to track product
performance and experimentation results
Find opportunities to use AI and advanced analytics to improve seller experience and
product effectiveness
Translate complex analyses into clear, actionable insights and recommendations for
technical and non-technical partners
Improve analytics workflows and tooling to increase insights velocity, scalability, and
impact
Ensure data quality, tracking integrity, and measurement reliability to support accurate
experimentation and decision-making
Required Qualifications
Master’s degree or equivalent in Data Science, Statistics, Economics, Computer Science,
or a related quantitative field
Master's + 4-7 years or 6-9 years of professional experience in product analytics, data
science, or a related analytical role
Strong SQL skills and experience working with large-scale, complex datasets
Hands-on experience designing, executing, and analyzing A/B tests
Solid foundation in statistics, experimentation, modeling and causal inference
Strong analytical thinking, problem-solving, and structured reasoning skills
Experience partnering cross-functionally with Product and Engineering teams
Ability to independently own analyses and translate data into actionable product
insights
Strong communication skills with the ability to influence both technical and non-
technical stakeholders
Preferred Qualifications
Experience working on marketplace, e-commerce platforms or large-scale technology
products
Experience with AI-powered product features or LLM/GenAI
Experience building scalable analytics tools, data models, or experimentation
frameworks
Why Join This Team
You will play a key role in shaping the future of AI-powered selling at eBay. Your work will
directly influence product strategy, accelerate innovation, and improve the experience for
millions of sellers worldwide. You will operate at the intersection of analytics, product, and
AI—solving high-impact problems and helping drive marketplace growth through data-driven
decision-making.
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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