Requirements

Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field (Master’s degree or MBA preferred)
8+ years of experience in data science, analytics, or a related quantitative role
Proven track record as a strong individual contributor, independently owning high-impact analytical initiatives end-to-end
Expertise in SQL, Excel, and data visualization tools; proficiency in Python or R preferred
Hands-on experience in product analytics, experimentation (A/B testing), and causal inference
Demonstrated ability to apply data science and AI techniques to drive measurable business impact and solve optimization problems
Excellent communication skills with the ability to translate complex analytical insights into clear, actionable recommendations for diverse stakeholders
Working knowledge of modern AI tools such as Gemini, GPT, and large language models (LLMs) for data-driven automation and insights
Ability to thrive in a fast-paced, cross-functional, and collaborative environment

Nice to Haves

Prior experience with global logistics, shipping operations, or carrier network performance data

Solve complex, real-world business problems using AI and advanced analytics to optimize eBay’s domestic and cross-border shipping experience
Drive analytics to expand and scale eBay’s managed shipping and label platform globally, defining success metrics and measuring business impact
Build predictive models and carrier rate simulations to optimize cost, speed, reliability, and sustainability across global carrier networks
Analyze customer pain points to identify friction and propose data-informed product and business solutions that drive label adoption
Design and evaluate A/B experiments to guide smart decisions on product features, pricing, and policy
Develop AI-powered systems for real-time anomaly detection and operational performance monitoring
Build data pipelines and dashboards to democratize insights and accelerate decision-making across teams
Collaborate with Product, Engineering, and Finance partners to translate analytical findings into measurable business outcomes