Senior Data Scientist – Shipping Analytics Leader

eBay; San Jose (CA); On-site; USD 149,000 - 199,000; Full time

Benefits offered by this job

401(k) eligibility

Paid time off

Parental leave

Job summary

eBay is seeking a seasoned Shipping Analytics leader to drive data-driven shipping initiatives and scale managed shipping solutions worldwide. You will lead end-to-end analytics, automation, and AI-driven improvements across carrier routing, delivery performance, and label adoption.

The role requires 8+ years in data science/analytics, strong SQL/Excel/data visualization skills, and experience translating analysis into business impact.

Qualifications

• 8+ years of experience in data science, analytics, or a related quantitative role.
• Strong SQL, Excel, and data visualization skills; working knowledge of Python or R.
• Experience in product analytics, experimentation, A/B testing, and causal inference.
• Ability to translate analysis into business action and lead end-to-end initiatives.

Responsibilities

• Apply advanced analytics, AI, and experimentation to shipping problems and improve eBay's shipping experience.
• Drive growth and optimization of managed shipping and label platform; define success metrics and scale globally.
• Build predictive models and carrier rate simulations to improve cost, speed, and reliability.
• Identify friction in the seller shipping and label journey; recommend product and business improvements.
• Design, run, and evaluate experiments; partner across teams to turn insights into outcomes.
• Develop scalable data pipelines, dashboards, and AI-powered monitoring for fast decision making.

Skills

SQL

Excel

Data visualization

A/B Testing

Education

Bachelor's degree in a quantitative field

Tools

Python

R

Job description

eBay is seeking a seasoned Shipping Analytics leader to drive data-driven shipping initiatives and scale managed shipping solutions worldwide. You will lead end-to-end analytics, automation, and AI-driven improvements across carrier routing, delivery performance, and label adoption.

The role requires 8+ years in data science/analytics, strong SQL/Excel/data visualization skills, and experience translating analysis into business impact.