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 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 eBays global shipping ecosystem.
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 eBays 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
A Bachelors degree in a quantitative field such as Engineering Computer Science Economics Statistics or Mathematics; a Masters 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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Required Experience:
Manager
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