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About the Role
As a Senior Data Scientist on the Seller Experience team, you will be a senior analytics leader shaping product strategy through rigorous experimentation, causal analysis, and scalable data products. You will partner with Product and Engineering leaders, mentor junior data scientists, and lead complex analytics workstreams for initiatives like Magical listing flow and personalized seller guidance.
Responsibilities
- Lead high-impact experimentation and causal analysis across Selling Experience, designing A/B tests and quasi-experimental approaches.
- Shape product strategy by identifying growth opportunities, diagnosing seller friction points, and translating business questions into analytical frameworks.
- Serve as the analytics anchor for the product area by partnering with Product, Engineering, and business leaders.
- Build and scale reusable analytics foundations, including experimentation frameworks, data models, and monitoring.
- Develop AI-powered analytics agents and self-serve data products to help partners access insights faster.
- Mentor junior data scientists, guide technical approaches, and champion high standards for data quality and measurement reliability.
Requirements
- Master’s or Ph.D. in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
- 7+ years of experience in product analytics, data science, or a similar analytical role.
- Deep expertise in experimentation and measurement, including A/B testing, advanced experimental design, causal inference, and statistical modeling.
- Strong SQL skills and experience working with large-scale, complex datasets.
- Hands-on experience applying LLMs or generative AI to analytics or product use cases.
- Demonstrated success building or contributing to AI agent systems, self-serve data products, or shared analytics tooling.
- Proven ability to independently lead high-visibility analytics workstreams and mentor junior team members.
- Clear communication with senior cross-functional stakeholders.
- Experience in marketplace, ecommerce, or large-scale technology products is a plus.
Skills
- Experimentation
- Causal analysis
- A/B testing
- Advanced experimental design
- Causal inference
- Statistical modeling
- Quantitative methods
- SQL
- Large-scale data analysis
- Data modeling
- LLMs
- Generative AI
- Prompt design
- Evaluation frameworks
- AI-assisted workflows
- AI-powered feature integration
- AI agent systems
- Self-serve data products
- Analytics tooling
- Mentoring
- Technical guidance
- Data quality standards
- Instrumentation
- Measurement reliability
Location
- Remote
Work Type
- Full-time
Experience Level
- 7+ years of experience
- Senior
Education Level
- Master’s or Ph.D.
Salary/Compensations
- C$141,600 - C$189,000
Benefits
- Target bonus
- Restricted stock units
- Medical benefits
- Financial benefits
- RRSP eligibility
- Various paid time off benefits
- PTO
- Parental leave
About the Company
- eBay is a global ecommerce leader changing the way the world shops and sells.
- Our platform empowers millions of buyers and sellers in more than 190 markets.
- We are committed to pushing boundaries and reinventing the future of ecommerce.
- Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work.
- We connect people and build communities to create economic opportunity for all.
Equal Opportunity
- eBay is an equal opportunity employer.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status.
- If you have a need that requires accommodation, please contact us at talent@ebay.com.
- We will make every effort to respond to your request for accommodation as soon as possible.
- View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.