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.
The Shipping Analytics team drives eBays 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.
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
A Bachelors degree in a quantitative field such as Data Science Engineering Computer Science Statistics or Mathematics; a Masters 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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Required Experience:
Senior IC
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