Data Science - Analyst 4
About The Position
The Shipping Analytics team advances eBay shipping initiatives through data-driven insights, advanced analytics, AI, and experimentation. The team focuses on making shipping more reliable, accurate, affordable, and seamless for sellers and buyers worldwide. This hands-on analytics leadership role combines individual contribution with leadership of a small team across high-impact shipping initiatives. The role uses data, experimentation, and AI to launch and scale managed shipping solutions, optimize carrier routing, improve delivery performance, and increase adoption of eBay labels. Working with Product, Business, Finance, and Engineering partners, the analyst translates logistics data into strategies that improve reliability, reduce cost, and grow label profitability globally.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field.
- At least 8 years of experience in data science, analytics, or a related quantitative role.
- A track record of independently leading high-impact initiatives end to end.
- Strong technical skills in SQL, Excel, and data visualization tools.
- Working knowledge of Python or R.
- Experience in product analytics, experimentation, A/B testing, and causal inference.
- Ability to translate analysis into business action.
- Demonstrated success applying data science, optimization, and AI techniques to achieve measurable business impact.
- Strong communication and collaboration skills, including the ability to work across Product, Engineering, Finance, and business teams in a fast-paced environment.
Nice To Haves
- An advanced degree or MBA.
- Familiarity with modern AI tools and LLMs.
- Experience in logistics, shipping operations, or carrier performance analytics.
Responsibilities
- Apply advanced analytics, AI, and experimentation to solve complex business problems and improve domestic and cross-border shipping experiences.
- Drive growth and optimization of eBay’s managed shipping and label platform by defining success metrics, measuring impact, and identifying global scaling opportunities.
- Build predictive models and carrier rate simulations to improve shipping cost, delivery speed, reliability, and sustainability across carrier networks.
- Identify friction and customer pain points in the seller shipping and label purchase journey, and recommend product and business improvements to increase label adoption.
- Design, execute, and evaluate experiments that inform product feature, pricing, and policy decisions.
- Partner cross-functionally to turn insights into measurable outcomes.
- Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions to enable faster decisions, improve operational visibility, and detect performance issues in real time.
- Lead a small team while working as a hands-on individual contributor.
Benefits
- Target bonus and restricted stock units, as applicable.
- Medical, financial, and other benefits.
- 401(k) eligibility.
- Paid time off, including PTO and parental leave.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
