Senior Data Science Analyst - 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 global shipping initiatives through data-driven insights, advanced analytics, and experimentation. This is a fast-paced, global team focused on making shipping at eBay more reliable, accurate, affordable, and seamless, with a strong emphasis on AI and innovation.

In this role, you will help develop and scale Cross Border Shipping solutions across multiple markets. You will act as a key analytics partner to Product, Business, and Finance teams, owning the measurement, insights, and experimentation that inform strategy and decision-making. Your work will directly shape how eBay launches, grows, and optimizes international shipping solutions worldwide.

What you will accomplish:

Use advanced analytics, AI, and data science to solve complex, real-world problems in cross-border shipping

Define success metrics and drive analytics that support the launch and scale of new global shipping solutions

Build optimization models that balance shipping speed, cost, conversion, and profitability

Design, run, and analyze experiments (A/B tests) to inform product, pricing, and policy decisions

Identify customer pain points across the cross-border buyer journey and recommend data-backed product and business improvements

Develop data pipelines, dashboards, and monitoring tools, including AI-based anomaly detection, to enable real-time insights

Partner closely with Product, Engineering, and Finance teams to translate insights into measurable business outcomes

What you will bring:

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

5+ years of experience in data science or analytics, owning high-impact initiatives end to end

Strong proficiency in Python, SQL, Excel, and data visualization tools such as Tableau

Experience with product analytics, including designing and evaluating A/B tests

Demonstrated ability to build models, perform optimization, and apply data science techniques to deliver tangible results

Clear and effective communication skills, with the ability to explain complex analyses to non-technical partners

Familiarity with AI and LLM-based tools (such as GPT or similar) for analytics or automation

Comfort working in a fast-paced, cross-functional environment; experience with global logistics or shipping data is a plus

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