Senior Data Science Analyst - Shipping Analytics & Impact

eBay; San Jose (CA); On-site; USD 170,000 - 228,000; Full time

Benefits offered by this job

401(k) eligibility

Paid time off (PTO)

Parental leave

Job summary

eBay's Global Shipping Analytics team seeks a seasoned Data Science Analyst to guide data-driven decisions across the shipping product roadmap and business strategy. You will partner with data science, product, and finance to identify growth and efficiency opportunities in a global shipping ecosystem.

The role combines leadership with individual contributions, working across time zones and departments to deliver measurable outcomes for buyers and sellers worldwide.

Qualifications

• 7+ years of experience in Data Science or Analytics.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, or related area; master’s degree beneficial.
• Proficiency in SQL, R, Python, and visualization tools like Tableau with experience large datasets.

Responsibilities

• Break down complex shipping and customer experience challenges into structured analytical problems and generate insights for product decisions.
• Develop dashboards and prototype models to uncover trends and opportunities.
• Collaborate with product, business, engineering, and finance to build and assess shipping initiatives.
• Identify opportunities for growth, cost savings, and improved operational performance across global shipping.
• Communicate insights and recommendations to partners across regions to enable faster decisions.
• Deliver thought leadership within the team and promote experimentation and learning.

Skills

SQL

Python

R

Data Science

Analytics

A/B testing

AI tools

Tableau

Education

Bachelor's in Statistics/Math/CS/Data Science

Master's degree (beneficial)

Tools

Tableau

Job description

eBay's Global Shipping Analytics team seeks a seasoned Data Science Analyst to guide data-driven decisions across the shipping product roadmap and business strategy. You will partner with data science, product, and finance to identify growth and efficiency opportunities in a global shipping ecosystem.

The role combines leadership with individual contributions, working across time zones and departments to deliver measurable outcomes for buyers and sellers worldwide.