At e Bay, 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 e Bay Live

e Bay Live is e Bay’s interactive live shopping experience where sellers and creators stream in real time and buyers engage through chat, bidding, and instant purchases. It blends entertainment, community, and commerce into a dynamic, trust-backed way to discover and shop.

As Live scales, delivering a seamless and successful seller experience is critical to marketplace growth. Join us to help build the analytics backbone that drives seller onboarding, performance, quality, and retention across Live.

Opportunity

As an Assistant Manager – Data Science (L24) supporting Live Seller Experience, you will own end-to-end analytics for defined problem areas within the seller journey. You will partner with Product, Seller Success, Operations, and Business stakeholders to generate actionable insights, measure impact, and support experimentation.

You will work on high-impact initiatives across:

• Seller onboarding and activation

• Listing quality and stream readiness

• Seller growth and performance optimization

• Retention and lifecycle management

• Incentives and program effectiveness

This role is ideal for someone who combines strong analytical fundamentals with structured thinking and a product-first mindset.

What You’ll Do

Seller Journey Analytics

• Analyze funnel performance across onboarding → activation → streaming → repeat selling.

• Identify friction points and propose data-backed interventions.

• Segment sellers by behavior, category, tenure, and performance.

Experimentation & Measurement

• Design and analyze A/B tests for seller-facing features and incentives.

• Define success metrics and guardrails.

• Use structured causal approaches (CUPED, diff-in-diff, uplift where appropriate) to measure incremental impact.

Performance & Growth Insights

• Track and report seller KPIs (GMV, sell-through, engagement, repeat stream rate).

• Identify drivers of high-performing sellers and translate insights into scalable playbooks.

• Support incentive program evaluation and ROI analysis.

Dashboarding & Automation

• Build and maintain self-serve dashboards for Product and Seller Success teams.

• Improve metric definitions and ensure data consistency.

• Automate recurring analyses to improve team efficiency.

Cross-functional Collaboration

• Partner closely with Product Managers on feature design and measurement plans.

• Work with Data Engineering on instrumentation gaps and dataset improvements.

• Present insights clearly to stakeholders and contribute to roadmap discussions.

What You Bring

Strong Analytical Foundation

• Solid understanding of experimentation and statistical testing.

• Ability to structure ambiguous business problems into measurable components.

• Experience with funnel analysis, cohort analysis, and KPI tracking.

Technical Skills

• Proficient in SQL and Python.

• Experience building dashboards (Tableau/Looker or similar).

• Comfortable working with large datasets and optimizing queries.

Business & Product Acumen

• Ability to connect metrics to user behavior and marketplace impact.

• Strong intuition for growth, retention, and performance levers.

• Clear understanding of trade-offs between growth and quality.

Communication & Execution

• Clear and concise storytelling tailored to technical and non-technical audiences.

• Strong ownership of deliverables and timelines.

• Proactive in surfacing insights and risks.

Growth Mindset

• Eager to deepen expertise in experimentation and causal methods.

• Open to feedback and continuous learning.

• Demonstrates reliability and consistency in execution.

Additional Details

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 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 for people with disabilities.

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