What you will accomplish
Lead high-impact experimentation and causal analysis across Selling Experience, designing A/B tests and quasi-experimental approaches that generate reliable insights for complex product decisions and roadmap investments.
Shape product strategy by proactively identifying growth opportunities, diagnosing seller friction points, and translating ambiguous business questions into clear analytical frameworks and actionable recommendations.
Serve as the analytics anchor for the product area by partnering with Product, Engineering, and business leaders in senior cross-functional forums to align measurement approaches, priorities, and decision-making.
Build and scale reusable analytics foundations—including experimentation frameworks, data models, monitoring, and shared tooling—that improve measurement quality and increase team velocity over time.
Advance team capabilities by developing AI-powered analytics agents and self-serve data products that help partners access insights faster, make stronger decisions independently, and reduce manual analytical overhead.
Raise the bar for analytical excellence by mentoring junior data scientists, guiding technical approaches, and championing high standards for data quality, instrumentation, and measurement reliability across the seller experience.
What you will bring
Master’s or Ph.D. in Data Science, Statistics, Economics, Computer Science, or a related quantitative field, with 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, statistical modeling, and other quantitative methods used in complex product environments.
Strong SQL skills and experience working with large-scale, complex datasets to deliver rigorous analysis, scalable data models, and decision-ready insights.
Hands-on experience applying LLMs or generative AI to analytics or product use cases, including prompt design, evaluation frameworks, AI-assisted workflows, or AI-powered feature integration.
Demonstrated success building or contributing to AI agent systems, self-serve data products, or shared analytics tooling that improves team efficiency and broadens access to insights.
Proven ability to independently lead high-visibility analytics workstreams, mentor junior team members, and communicate clearly with senior cross-functional stakeholders; experience in marketplace, ecommerce, or large-scale technology products is a plus.
Additional Details
The base pay range for this position is expected in the range below
C$141,600 - C$189,000
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
This job posting relates to an existing vacancy within eBay.
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.
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