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. 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.
What You Will Accomplish

• 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 You Will Bring

• 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
  

Preferred Qualifications

• 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
  

Why Join This Team
You will play a key role in crafting the future of AI-powered selling at eBay. Your work will directly influence product strategy, accelerate innovation, and improve the experience for millions of sellers worldwide. You will operate at the intersection of analytics, product, and AI—solving high-impact problems and helping drive marketplace growth through data-driven decision-making.
Additional Details
The base pay range for this position is expected in the range below:
$103,200 - $178,400
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 401(k) eligibility and 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.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. 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 for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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