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What You Will Accomplish
Provide consultative, thought leadership to global senior leaders supporting International Markets.
Lead and encourage the science & insights strategy to proactively help eBay to better understand customers and each market’s business.
Supervise and lead data science analytics teams who are dedicated to International Markets.
Be able to devise methodologies and approaches to exploring the data and discovering the right science solutions needed.
Be comfortable being deep into the solution details while also crafting executive summary level presentations that help the larger eBay business understand the “Why” behind science, data and insights.
Collaborate extensively with key partners in other parts of Global Analytics and Global Customer Insights to connect the internal and external view of customers.
Lead the creation of regular updates to the executive leadership team for International Markets and throughout the eBay global business on the health of the eBay customer base, spotting the opportunity areas and working with partners to drive strategies that help eBay grow
Considering the application of data analysis and scientific data interpretation as a tool to develop balanced solutions that provide enduring value to the business
Be a guide on eBay’s data and enjoy applying research to real world problems.
What You Will Bring
Master’s degree or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
12+ years of experience in Customer data science or analytics roles, including 5+ years leading teams
Consistent track record building analytical products and customer data-science driven programs
Deep understanding of customer data, customer analytics and data science techniques, including experience evaluating ML models with custom metrics and robust frameworks
Excellent logical, analytical and conceptual skills.
Good understanding of experimental design and statistics.
Strong data-driven decision making.
Effective communication abilities and capacity to influence cross-functional collaborators, including demonstrated experience collaborating with C-level executives, crafting content suitable for this audience level
Bold, proactive approach; capable of adjusting to new challenges and completing tasks in uncertain situations.
Startup mindset—comfortable with ambiguity, bias for action, and fast iteration
Experience with LLMs, prompt engineering, and RAG techniques (preferred)
AI-powered customer and business understanding in eCommerce
Own high-impact initiatives in a startup-style culture with real autonomy
Work alongside extraordinary talent
Develop solutions that scale—serving millions of users and crafting the future of shopping
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