Senior Data Science Analyst, Shipping

eBay

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$170,400–$227,500 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $199k
$101k $241k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $130,577–$191,562 — the blue band above. At the midpoint, this role pays about $199k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About eBay

eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.

eBay currently has 46 open roles on FindRole.

Listed pay typically runs $160,800–$228,600 across 45 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · Senior Data Science Analyst, Shipping

The Senior Data Science Analyst - Shipping joins the Global Shipping Analytics group to analyze rich commerce datasets and apply advanced statistical analysis to improve delivery speed, reliability, and visibility. As a functional leader and individual contributor, you will collaborate with product, engineering, and finance teams to influence the shipping product roadmap and identify growth or cost-saving opportunities. You will build analytical frameworks, dashboards, and prototype models to uncover trends within the global shipping ecosystem. Required skills include proficiency in SQL, R, Python, and Tableau, alongside a firm understanding of descriptive and inferential statistics. You will also utilize AI tools to develop advanced data products. The role focuses on solving complex shipping and customer experience challenges by transforming large, complex datasets into practical business recommendations.

What you'll do

  • Translate complex shipping and customer experience challenges into structured analytical problems.
  • Develop and refine analytical frameworks, dashboards, and prototype models to uncover ecosystem trends.
  • Identify growth, cost savings, and operational performance opportunities across the global shipping system.
  • Provide data-driven recommendations to influence the shipping product roadmap and business strategy.
  • Communicate insights and trade-offs to cross-functional partners to enable faster decision-making.
  • Share guidelines and provide peer mentoring to promote a culture of experimentation and learning.
  • Use SQL, R, Python, and AI tools to analyze large, complex datasets.

What we're looking for

  • 7+ years of experience in Data Science or Analytics domains.
  • Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, Business Administration, Business Analytics, or a related area.
  • Master’s degree or equivalent experience is beneficial.
  • Proficiency in SQL, R, Python, and visualization tools like Tableau for working with large, complex datasets.
  • Ability to use AI tools to develop advanced data products and solutions.
  • Firm understanding of descriptive and inferential statistics and the ability to develop prototype models to examine hypotheses.
  • Experience as a product or business analyst applying insights to problems at scale.
  • Familiarity with product analytics and online experimentation (A/B testing) is a plus.
  • Experience in shipping, supply chain, logistics, or a related area is beneficial.

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