Data Scientist

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: At eBay, we connect millions of buyers and sellers around the world, creating economic opportunity for individuals, entrepreneurs, and businesses of all sizes. The Seller Experience team is focused on making it easier and faster for anyone to sell on eBay by combining AI, automation, and intuitive product design to create smarter, more personalized selling journeys. As a Senior Data Scientist, you will serve as a senior analytics leader for the Selling Experience product area, helping shape product strategy through rigorous experimentation, causal analysis, and scalable data products. You will partner closely with Product and Engineering leaders, mentor junior data scientists, and independently lead complex, high-visibility analytics workstreams across initiatives such as Magical listing flow, personalized seller guidance, AI-powered insights, and experimentation infrastructure. This role is ideal for someone who thrives in ambiguity, brings deep technical expertise, and is excited to scale team impact through AI-powered analytics capabilities and reusable self-serve tools. 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.

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