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# Data Science - Analyst 4

- **Company:** eBay
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $149,200.0 - $199,200.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, A/B Testing, Artificial Intelligence, Data Visualization, Python (Programming Language), SQL Databases, Usage Analysis, Large Language Models, Information Technology, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/310555e0-98e0-443c-a8b4-512df221945f

## About the Role

* Bachelor's degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field; advanced degree or MBA is a plus.
 * 8+ years of experience in data science, analytics, or a related quantitative role, with a track record of independently leading high-impact initiatives end to end.
 * Strong technical skills in SQL, Excel, and data visualization tools, with working knowledge of Python or R.
 * Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action.
 * Demonstrated success applying data science, optimization, and AI techniques to drive measurable business impact; familiarity with modern AI tools and LLMs is preferred.
 * Strong communication and collaboration skills, with the ability to work effectively across Product, Engineering, Finance, and business teams in a fast-paced environment; experience in logistics, shipping operations, or carrier performance analytics is a plus.

## Description

* Apply advanced analytics, AI, and experimentation to solve complex business problems and improve eBay's domestic and cross-border shipping experience.
 * Drive the growth and optimization of eBay's managed shipping and label platform by defining success metrics, measuring impact, and identifying opportunities to scale globally.
 * Build predictive models and carrier rate simulations that improve shipping cost, delivery speed, reliability, and sustainability across carrier networks.
 * Identify friction across the seller shipping and label purchase journey, uncover customer pain points, and recommend product and business improvements that increase label adoption.
 * Design, execute, and evaluate experiments to inform decisions on product features, pricing, and policy, while partnering cross-functionally to turn insights into measurable outcomes.
 * Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions that enable faster decisions, improve operational visibility, and detect performance issues in real time.