Data Science Manager C2C Search

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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:

• 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.

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Additional Details

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