SEO Data Scientist

eBay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$149,200–$199,200 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $174k
$97k most similar roles pay here $233k

This role pays more than 62% of similar roles. Most pay $126,800–$204,400 — the shaded band above. At the midpoint, this role pays about $174k versus about $166k 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 28 open roles on FindRole.

Listed pay typically runs $188,800–$227,500 across 27 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · SEO Data Scientist

As an SEO Data Scientist within the SEO Analytics function, you will join a team focused on defining strategic direction and developing differentiated experiences for core buyers. You will partner with product and engineering teams to analyze vast data ecosystems, influence the SEO roadmap, and drive customer-centric innovation across the marketplace. Your daily responsibilities include developing success metrics, designing A/B tests, and applying predictive analytics to address complex problems related to algorithm updates and AI search trends. To succeed, you must possess proficiency in SQL, Python or R, and experience with machine learning frameworks like ensemble models or transformer-based methods. You will use these tools to identify root causes of performance changes and translate technical findings into actionable recommendations that improve buyer and seller outcomes within the evolving e-commerce landscape.

What you'll do

  • Develop the SEO product roadmap by providing analytical insights to influence design and technical decisions.
  • Define success metrics, measurement frameworks, and experimentation roadmaps for key product areas.
  • Monitor and improve SEO/AEO performance while identifying root causes behind fluctuations in search trends.
  • Apply statistical methods and predictive analytics to solve complex problems impacting buyer experience and revenue.
  • Design and interpret A/B tests and causal measurement approaches to evaluate product changes.
  • Create forward-looking analytical models to understand customer behavior and guide long-term strategy.
  • Translate complex data findings into actionable recommendations for Product, Engineering, and Business teams.

What we're looking for

  • 8+ years of experience in analytics, data science, or a related quantitative field.
  • Proficiency in SQL and at least one analytical programming language such as Python or R.
  • Strong command of A/B testing design, causal inference, and experimentation measurement.
  • Experience applying statistical methods, machine learning, and predictive modeling to solve business problems.
  • Familiarity with modern machine learning frameworks including ensemble models, deep learning, or transformer-based methods.
  • Ability to translate complex data findings into clear recommendations for cross-functional teams.
  • A bachelor's degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related field.

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