Data Science & AI Lead

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.

Role Overview

We are looking for an experienced

Data Scientist (Analytics)

who can combine strong analytical thinking with hands-on data science and product-building skills. You’ll own end-to-end problem-solving — from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning — and who thrives in a fast-paced, collaborative environment.

Key Responsibilities

• End-to-End Data Product Development: Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
• Advanced Analytics & Modeling: Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
• AI & Automation: Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
• Strategic Insights & Storytelling: Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
• Cross-functional Collaboration: Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
• Planning & Execution: Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
  

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