At e Bay, 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:

The Consumer-to-Consumer (C2C) team focuses on creating a simple, safe, and engaging selling experience for e Bay sellers, supporting how they list, ship, get paid, and grow their businesses. Within this space, the Analytics team plays a central role in shaping product and business strategy, guiding decisions that directly influence the roadmap and overall marketplace performance.
As a Data Science Manager, you will lead analytics strategy for C2C Search, with a focus on improving and personalizing search and increasing sales velocity for sellers. This role combines leadership, hands-on technical work, and cross-functional collaboration. You will partner with product, engineering, and business teams to deliver scalable data solutions, advance experimentation practices, and develop AI-enabled tools that improve decision-making and seller outcomes.

What you will accomplish:

• Lead C2C Search product analytics and experimentation strategy to improve speed of sale and seller success.
• Define and implement consistent metrics, experimentation frameworks, and measurement standards to support data-driven decision-making.
• Drive AI-focused initiatives by prototyping and delivering data products and tools that enhance search performance and automate analytical workflows.
• Establish high standards for data quality, instrumentation, and metric definitions, aligning data architecture and semantic layers across teams.
• Own business performance tracking through domain scorecards, leading regular reviews and translating insights into clear recommendations for leadership.
• Partner with product, engineering, and business stakeholders to prioritize initiatives, remove bottlenecks, and deliver impactful outcomes.
• Develop scalable processes and solutions that improve the speed, quality, and effectiveness of analytics across the organization.

What you will bring:

• Advanced degree (or equivalent experience) in a quantitative field such as Statistics, Economics, or Computer Science, with a strong track record in product analytics at scale.
• Deep expertise in experimentation, econometrics, causal inference, and statistical modeling, with the ability to evaluate methodologies and ensure analytical rigor.
• Strong programming skills in SQL and Python, with experience working on production-scale datasets.
• Experience using AI tools and frameworks (e.g., coding assistants or agent-based tools) to develop, evaluate, and prototype analytical solutions.
• Ability to combine technical execution with strategic thinking, including hands-on prototyping, validating approaches, and solving complex problems.
• Strong business and product acumen, with the ability to translate data into actionable insights and measurable outcomes.
• Experience collaborating across product, engineering, and data teams, with the ability to align stakeholders and drive execution in complex environments.

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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