SEO Data Scientist

eBay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$127,600–$170,300 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $149k
$98k $228k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $131,050–$207,443 — the blue band above. At the midpoint, this role pays about $149k versus about $169k 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 36 open roles on FindRole.

Listed pay typically runs $136,000–$228,600 across 36 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · SEO Data Scientist

JOB TITLE: SEO Data Scientist The SEO Data Scientist joins the SEO Analytics function to help define the strategic direction of the marketplace. This role involves partnering with product and engineering teams to uncover insights from a vast data ecosystem, influencing the SEO roadmap, and driving customer-centric innovation. Key responsibilities include developing success metrics, designing A/B tests, and applying sophisticated statistical methods to address complex marketplace problems. The successful candidate will use SQL, Python, or R to perform descriptive, inferential, and predictive modeling. They must also utilize machine learning frameworks, including ensemble models, deep learning, or transformer-based methods. The work focuses on improving SEO and AEO performance by identifying root causes behind algorithm updates, technical issues, and AI search trends to enhance buyer and seller outcomes.

What you'll do

  • Develop the SEO product roadmap by delivering insights that influence design, technical, and organizational decisions.
  • Define and own success metrics, measurement frameworks, and experimentation roadmaps for key product areas.
  • Identify root causes behind SEO/AEO performance changes caused by product launches, technical issues, or algorithm updates.
  • Apply statistical methods and predictive analytics to solve complex marketplace problems with significant revenue impact.
  • Design and interpret A/B tests and causal measurement approaches to evaluate product changes.
  • Develop predictive and experimental models to understand customer behavior and guide long-term product strategy.
  • Translate complex analytical findings into clear recommendations for Product, Engineering, and Business teams.

What we're looking for

  • 5+ years of experience in analytics, data science, or a related quantitative field.
  • Experience supporting product decisions in an e-commerce or consumer technology environment.
  • Strong command of A/B testing design, causal inference, and experimentation measurement.
  • Hands-on proficiency in SQL and one or more analytical programming languages such as Python or R.
  • Experience applying statistical methods, experimentation, and machine learning for solving real business problems.
  • Familiarity with modern machine learning frameworks such as ensemble models, deep learning, or transformer-based methods.
  • Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Economics, Physics, or Engineering.
  • Advanced study in a quantitative field is a plus (preferred).

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