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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.
Role Overview
We are looking for an experienced Data Scientist (Analytics) who can combine strong analytical thinking with hands-on data science and product-building skills. You’ll own end-to-end problem-solving — from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.
This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning — and who thrives in a fast-paced, collaborative environment.
Key Responsibilities
- End-to-End Data Product Development:
Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces. - Advanced Analytics & Modeling:
Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems. - AI & Automation:
Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation. - Strategic Insights & Storytelling:
Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy. - Cross-functional Collaboration:
Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives. - Planning & Execution:
Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
Required Qualifications & Skills
- 5–8 years of experience in data science, analytics, or data product roles
- Strong proficiency in Python and SQL
- Hands-on experience with Tableau or other visualization tools
- Proven experience with machine learning, statistical modeling, and data-driven experimentation
- Strong background in handling large, complex datasets and building scalable data pipelines
- Exceptional problem-solving and analytical thinking skills — able to break down ambiguity into structured frameworks
- Excellent communication and storytelling skills — ability to influence senior stakeholders through clear and compelling narratives
- Strong project planning, prioritization, and execution capabilities
Preferred Qualifications
- Experience with AI/LLM-based analytics or automation solutions
- Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
- Prior experience in e-commerce, marketplace, or retail analytics domains
- Exposure to data product management or working in cross-functional product teams
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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.
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