Data Science Manager

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.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role:

Our team helps shape the future direction of eBay by defining where we play, how we win, and how we create differentiated experiences for our customers. We focus on deeply understanding the needs of core buyers and translating those insights into strategies that strengthen eBay’s position in the market. To bring that strategy to life, we partner closely with Product, Technology, and regional business teams across the end-to-end customer experience.

Within this space, the View Item team plays a critical role in the buyer journey by helping customers evaluate products and make confident purchase decisions. As a Data Science Analyst supporting this domain, you will apply advanced analytics, experimentation, and machine learning to inform product strategy and influence roadmap decisions. This is a high-impact role for someone who combines strong technical depth with strategic thinking and brings a passion for improving the e-commerce experience at scale.

What you will accomplish:

• Shape the View Item product roadmap by delivering insights and analytical thought leadership that influence product, engineering, and business decisions.

• Define and own success metrics, measurement frameworks, and experimentation roadmaps for key View Item product areas, helping the team make faster and more confident decisions.

• Apply advanced statistical methods and machine learning techniques to solve complex, ambiguous product and marketplace problems with meaningful buyer and revenue impact.

• Design, execute, and interpret A/B tests and other causal measurement approaches to evaluate product changes and identify opportunities to improve the buyer experience.

• Develop forward-looking analytical approaches, including predictive and experimental models, to better understand customer behavior and guide long-term product strategy.

• Partner cross-functionally with senior stakeholders across Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes at scale.