Manager, Data Science (Analytics)

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.

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. The Global buying Hub (GBH) team is focused on improving the eBay experience for our global users that are based outside of sited markets (the team is covering 150+ countries). We’re committed to pushing boundaries and leaving our mark as we make eBay truly global.

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 Role & Team:

We are seeking a Product Data Science and Analytics member to lead our efforts for the Global Buying Hub Search Product domain. Successful candidates should have a strong background in data science & analytics and able to thrive in a fast-paced environment without being hindered by ambiguity or competing priorities.

What You Will Accomplish:

• Set Analytics strategy, design and manage analytics roadmaps for Global Buying Hub Search domain.
• Define, design and track key metrics to measure product performance and lead product health monitoring.
• Design and execute A/B tests, causal inference, predictive analytics to identify and quantify opportunities and drive product strategy and roadmaps.
• Develop dashboards and other self-service data visualization tools.
• Partner with cross functional teams (Engineering, Product, Business etc.) to identify, prioritize and solve business challenges & develop best in class analytics solutions.

What You Will Bring:

• Bachelor's degree in Computer Science, Engineering, Statistics or other quantitative fields. Master’s degree is a plus.
• Minimum 5+ years of professional experience in using data to facilitate business decisions, 3+ years if having a Master's Degree.
• Strong hands-on experience designing and analyzing experiments, with a solid foundation in causal inference
• Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Excellent communication, able to summarize complex analytical results and implications to senior leadership and collaborators in a clear and actionable manner.
• Proven track record of maximizing data science to drive significant business impact, preferably within a product organization.
• Experience in efficient manipulation and analysis of large data sets.
• Advanced understanding of big data technologies and tools (e.g. SQL, Tableau, Python …). Previous experience enhancing Analytics tools with AI technologies is a plus.
• Experience working on search, ranking, relevance, recommendation systems or discovery products is highly desirable.

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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 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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