Data Science - Analyst 4

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: The Shipping Analytics team drives eBay’s most important shipping initiatives through data-driven insights, advanced analytics, AI, and experimentation. As a global, fast-paced team, they are focused on making shipping at eBay more reliable, accurate, affordable, and seamless for sellers and buyers around the world. This role is an opportunity for a hands-on analytics leader to operate as a strong individual contributor while leading a small team across high-impact initiatives in eBay’s shipping ecosystem. The person in this role will use data, experimentation, and AI to help launch and scale managed shipping solutions, optimize carrier routing, improve delivery performance, and increase adoption of eBay labels. Working closely with Product, Business, Finance, and Engineering partners, they will translate complex logistics data into clear strategies that improve reliability, reduce cost, and grow label profitability globally. What you will accomplish: • Apply advanced analytics, AI, and experimentation to solve complex business problems and improve eBay’s domestic and cross-border shipping experience. • Drive the growth and optimization of eBay’s managed shipping and label platform by defining success metrics, measuring impact, and identifying opportunities to scale globally. • Build predictive models and carrier rate simulations that improve shipping cost, delivery speed, reliability, and sustainability across carrier networks. • Identify friction across the seller shipping and label purchase journey, uncover customer pain points, and recommend product and business improvements that increase label adoption. • Design, execute, and evaluate experiments to inform decisions on product features, pricing, and policy, while partnering cross-functionally to turn insights into measurable outcomes. • Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions that enable faster decisions, improve operational visibility, and detect performance issues in real time. What you will bring: • Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field; advanced degree or MBA is a plus. • 8+ years of experience in data science, analytics, or a related quantitative role, with a track record of independently leading high-impact initiatives end to end. • Strong technical skills in SQL, Excel, and data visualization tools, with working knowledge of Python or R. • Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action. • Demonstrated success applying data science, optimization, and AI techniques to drive measurable business impact; familiarity with modern AI tools and LLMs is preferred. • Strong communication and collaboration skills, with the ability to work effectively across Product, Engineering, Finance, and business teams in a fast-paced environment; experience in logistics, shipping operations, or carrier performance analytics is a plus. Additiona