Manager, Data Science - Analytics

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At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day.

We’re in this together, sustaining the future of our customers, our company, and our planet.

The Focus Categories Decision Sciences team at eBay is seeking an experienced Data Scientist to support our Global Collectibles Product unit. This role is centered on advancing product discovery, measurement, testing, and predictive modeling to enhance targeting capabilities, as well as conducting custom analytics to uncover actionable insights that drive success for our business partners. You’ll help motivate change and improve decision‑making through data‑driven analyses, deep business understanding, rigorous truth‑seeking, and impactful insights.

In this highly visible and cross‑functional role, you’ll collaborate with Collectibles product and business leaders, as well as teams across the company, to evaluate existing programs, develop new analytical solutions, and identify innovative growth opportunities.

• Partner with product, business, and analytics stakeholders to understand key initiatives and deliver insights that influence strategic decisions.
• Lead the development and implementation of predictive models and advanced analytics to improve targeting and measurement across the Collectibles domain.
• Design and execute experiments and tests to measure business impact and identify new opportunities for growth.
• Communicate analytical results clearly, translating complex data findings into actionable recommendations for senior leadership.
• Serve as a trusted data expert, integrating diverse data sources to uncover trends and patterns that inform business strategy.
• Contribute to a culture of data excellence and continuous learning within the Decision Sciences team.

• Exceptional business judgment and strong quantitative problem‑solving skills.
• Proven experience distilling complex analytical findings into clear, action‑oriented insights.
• Strong communication and storytelling abilities across executive and cross‑functional audiences.
• Expertise in building and deploying machine learning models and driving their adoption within business workflows.
• Proficiency in SQL and either Python or R; strong understanding of data warehouse architecture.
• Solid grounding in both descriptive and inferential statistics.
• Experience with data visualization tools such as Tableau.
• Practical experience in applying modern AI/ML techniques to solve complex business problems, particularly in e‑commerce product discovery or personalization.
• Demonstrated ability to transition ML models from research/prototype to production‑ready systems, including proficiency with cloud‑based ML platforms.
• Ability to manage multiple projects and stakeholders in a dynamic environment.
• BS/BA in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, or a related field; advanced degree preferred.
• 10+ years of relevant professional experience, or 8+ years with a Master’s degree.

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. These include maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead.

eBay is committed to diversity and inclusion. We provide a safe and inclusive workspace where you can bring your unique self to work. For more about our Diversity & Inclusion program, visit

The base pay range for this position is $165,600 – $221,100. Base pay offered may vary depending on multiple…