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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 & Role
Shipping Analytics team drives eBay’s key shipping initiatives through data-driven insights and advanced analytics. We are a global, fast-paced team passionate about making shipping at eBay more reliable, accurate, affordable and seamless through the use of AI, innovation, and experimentation.
We are looking for a collaborative and analytical problem-solver with strong business insight and technical depth. You’ll apply advanced analytics, AI and data science techniques to build scalable data products, uncover insights, and shape strategic decisions across eBay’s shipping ecosystem.
In this role, your goal is to help ebay roll out and develop Cross Border shipping solutions across multiple markets. You will act as a key partner to Product, Business and Finance teams in helping get these solutions off the ground and scaling them fully. This role gives you ownership of the program and you will be responsible to build the company strategy and decision making using data, insights and experimentation.
What You Will Do
Solving ambitious, real-world business problems using advanced analytics and AI for cross-border shipping.
Driving the analytics to launch and grow new global shipping solutions—you'll define how we measure success.
Building optimization models to balance shipping speed, cost and profitability.
Analyze customer problems and suggest product and business solutions that can address these to drive adoption and grow International Shipping solutions.
Designing and analyzing A/B tests to help make smart decisions on product, pricing, and policy.
Creating AI-powered systems to spot performance issues in real-time (anomaly detection).
Building data pipelines and dashboards so everyone can easily get the insights they need.
Partnering with Product, Engineering, and Finance teams to turn your data findings into actual business wins.
What You Will Bring
A Bachelor's degree in a quantitative field like Data Science, Engineering, Computer Science, Statistics, Mathematics - a Master's is a bonus!
5 years or more of experience in data science or analytics.
You're a whiz with Python, SQL, Excel, and data visualization tools like Tableau.
Proven track record as a strong individual contributor, independently owning high-impact analytical initiatives end-to-end.
Solid experience in product analytics, especially developing and measuring A/B tests.
A proven history of using data science to build models, solve optimization problems, and get real results.
Great communication skills—you can explain sophisticated data stuff simply to non-tech people.
Familiarity with AI tools like Gemini, GPT, and LLMs for automation.
You can handle a fast-paced environment and love working with different teams.
Bonus points if you know a thing or two about global logistics, shipping operations, or carrier network data!
Some exciting problems we are working on
What should be the right pricing for our international shipping services to optimize conversion and profitability? Running controlled experiments around price sensitivity to answer this.
Our duties and tax estimations are not always accurate, what are some of the key reasons for inaccuracy and how can we systematically fix them? Overcharging duty rates due to wrong HS code classification affects conversion, undercharging affects profitability.
How does growing listings supply for Cross border drive incremental business? How does it substitute domestic inventory if at all?
How do customers discover cross border items and what does the buyer funnel look like? Where do customers drop off often and what can we do to improve conversion?
Innovative ways to reduce total cost for our customers and drive more volumes. Example: Allowing sellers to drop off packages at our hub instead of shipping, thereby eliminating leg 1 shipping cost.
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