Data Scientist

eBay • Austin, TX

64d

About The Position

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. Our Seller Experience team is focused on making it easier and faster for anyone to sell on eBay by demonstrating AI, automation, and intuitive product design. We are seeking a Data Scientist to help shape the future of AI-powered selling experiences. In this role, you will partner closely with Product and Engineering teams to develop analytics, experimentation strategies, and data-driven insights that simplify listing flow, improve listing quality, and accelerate seller growth. You will work on high-impact initiatives such as AI-assisted listing flows, personalized seller guidance, LLM-powered insights, and scalable experimentation frameworks that directly influence product roadmap and business outcomes. This role is ideal for a strong senior data scientist who can independently own analytics workstreams, apply structured thinking to ambiguous problems, and translate data into actionable recommendations that improve both user experience and business performance.

Requirements

• Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field
• 4+ years of professional experience in product analytics, data science, or a related analytical role
• Strong SQL skills and experience working with large-scale, complex datasets
• Hands-on experience designing, executing, and analyzing A/B tests
• Solid foundation in statistics, experimentation, modeling and causal inference
• Strong analytical thinking, problem-solving, and structured reasoning skills
• Experience partnering cross-functionally with Product and Engineering teams
• Ability to independently own analyses and translate data into actionable product insights
• Strong communication skills with the ability to influence both technical and non-technical partners

Nice To Haves

• Experience working on marketplace, e-commerce platforms or large-scale technology products
• Experience with AI-powered product features or LLM/GenAI
• Experience building scalable analytics tools, data models, or experimentation frameworks

Responsibilities

• Design, implement, and analyze A/B tests to evaluate product features and AI-powered experiences
• Define success metrics, measurement frameworks, and experimentation strategies to support product development and launches
• Analyze user behavior, product funnels, and engagement patterns to find opportunities to improve seller activation, efficiency, and success
• Partner closely with Product and Engineering teams to inform roadmap prioritization, feature design, and iteration decisions
• Build scalable data pipelines, dashboards, and monitoring tools to track product performance and experimentation results
• Find opportunities to harness AI and advanced analytics to improve seller experience and product effectiveness
• Translate complex analyses into clear, actionable insights and recommendations for technical and non-technical partners
• Improve analytics workflows and tooling to increase insights velocity, scalability, and impact
• Ensure data quality, tracking integrity, and measurement reliability to support accurate experimentation and decision-making

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level