Quick summary
- Work type
- On-site
- Location
- San Jose, CA
- Salary
- $149,200–$199,200 / yr
- Posted
- 4 days ago
- Freshness
- Confirmed live yesterday
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
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.
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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.
Skills
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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