Manager, Data Science (Analytics) L25
Ebay INC · 🌍 Bengaluru, India
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About the role
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. Manager, Data Science (Analytics) — eBay Live Buyer Experience | L25 Role Overview We are seeking a Manager, Data Science (Analytics) to play a senior analytics role within the eBay Live Buyer Experience team, supporting eBay’s real-time livestream shopping experience across categories such as Collectibles, Luxury, Sneakers, and Apparel. This is a senior individual contributor role , not a people-management position. You will combine deep technical expertise in product analytics and experimentation with strong product judgment, cross-functional leadership, and analytical thought leadership. You will own complex product problem spaces end to end, shape measurement and experimentation strategy, and partner closely with Product, Engineering, Design, and business leaders to influence the evolution of the eBay Live buyer experience. You will also mentor junior data scientists and help raise the analytical bar across the team. Key Responsibilities Product Analytics & Thought Leadership • Own analytics for strategic areas of the eBay Live buyer experience , spanning discovery, engagement, bidding, purchasing, conversion, and retention. • Act as an analytics thought partner to Product leadership , proactively identifying opportunities and shaping product strategy through data. • Define analytical frameworks, success metrics, and measurement approaches for complex and ambiguous product initiatives. • Connect insights across the buyer journey to identify broader opportunities for engagement and sustainable growth. Experimentation & Advanced Measurement • Lead the design and analysis of A/B tests and controlled experiments , including experiment design, metric selection, statistical analysis, and interpretation. • Shape experimentation strategy for complex product changes, including situations involving network effects, interference, heterogeneous treatment effects, or other measurement challenges. • Apply causal inference and quasi-experimental techniques when randomized experimentation is not possible. • Establish rigorous measurement frameworks that enable confident product and investment decisions. Advanced Analytics & Data Science • Lead deep analytical investigations using funnels, cohorts, behavioral segmentation, statistical modeling, and other advanced techniques. • Apply supervised and unsupervised learning where appropriate to understand buyer behavior, segmentation, propensity, and engagement. • Identify opportunities to leverage AI and advanced analytics to improve buyer experiences and scale decision-making. • Build reusable analytical frameworks and tools that increase the effectiveness of the broader team. Cross-functional Leadership & Influence • Lead complex analytical initiatives involving Product, Engineering, Design, and business teams . • Influence senior stakeholders through clear analytical reasoning, product judgment, and compelling storytelling. • Drive alignment on metrics, experimental approaches, tradeoffs, and recommendations. • Proactively identify important questions and opportunities rather than opera