Manager, Data Science - Shipping

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 shipping strategy through data-driven insights, advanced analytics, and experimentation. This global team focuses on improving reliability, accuracy, affordability, and ease of shipping at eBay by applying AI and innovative analytical approaches.

In this role, you will operate as a hands-on analytics leader, combining deep technical expertise with first-time people leadership. You will lead a small team while remaining a strong individual contributor, partnering closely with Product, Business, Finance, and Engineering teams. Your work will shape managed shipping solutions, carrier routing, delivery performance, and seller adoption of eBay labels, with direct impact on cost, reliability, and profitability across eBay’s global shipping ecosystem.

What you will accomplish:

• Apply advanced analytics and AI to solve complex shipping and logistics problems across domestic and cross-border experiences

• Define success metrics and drive analytics to launch, expand, and scale eBay’s managed shipping and label platforms globally

• Build predictive models and simulations to optimize carrier selection, cost, speed, reliability, and sustainability

• Identify seller and customer friction points and recommend data-informed product and business solutions to increase label adoption

• Design, run, and evaluate experiments (A/B tests) to guide decisions on product features, pricing, and policy

• Develop data pipelines, dashboards, and AI-powered anomaly detection systems to enable real-time performance monitoring

• Partner with cross-functional teams to translate insights into measurable business outcomes and operational improvements

What you will bring:

• A Bachelor’s degree in a quantitative field such as Engineering, Computer Science, Economics, Statistics, or Mathematics; a Master’s degree or MBA is a plus

• 8+ years of experience in data science, analytics, or a related quantitative role

• First experience leading people, while remaining hands-on as a strong individual contributor

• Proven ability to independently own high-impact analytical initiatives end to end

• Strong expertise in SQL, Excel, and data visualization tools; proficiency in Python or R preferred

• Experience with product analytics, experimentation (A/B testing), and causal inference

• Clear communication skills and the ability to translate complex analyses into actionable recommendations for diverse partners

• Experience with global logistics or shipping data is a big plus

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