Senior Manager, Data Science & Analytics

Job Title: Senior Manager, Data Science & Analytics Company: eBay Job Category: Data Science Roles & Responsibilities: 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. Senior Manager, Data Science \& Analytics Key Responsibilities * Lead \& Mentor Talent: Manage, recruit, and coach a high\-performing team of data scientists and analysts at the IAC, fostering technical rigor and continuous growth. * Shape Strategy \& Roadmaps: Act as a strategic thought partner to global leadership across Product, Engineering, Product Marketing, GTM, and Business Operations to drive data\-informed decisions. * Drive Business \& Marketplace Growth: Identify and quantify revenue opportunities, translating complex marketplace dynamics into actionable strategies for buyer discovery and seller sales acceleration. * Advanced Methodological Rigor: Oversee complex analyses, causal inference, advanced experimentation (A/B testing), predictive modeling, and ad ranking/auction optimization. * Champion AI\-First Transformation: Integrate generative AI, LLMs, and agentic workflows into daily data processes to scale exploration, reporting, and automated storytelling. * Global Stakeholder Management: Communicate high\-impact analytical narratives and executive\-level recommendations across distributed global teams. Work Location: Bengaluru, Karnataka, India Availability: Full time

Qualifications Required * Experience: 9\+ years in Data Science, Product Analytics, or Business Analytics, including dedicated people leadership and team mentorship. * Domain Knowledge: Proven background in retail media, digital advertising, or two\-sided marketplaces—with strong grounding in ad auctions, ranking, monetization funnels, and seller value propositions. * Technical Toolkit: Advanced proficiency in SQL, Python, large\-scale data systems, statistical modeling, and rigorous experimentation frameworks. * Education: Master’s degree in a quantitative discipline (Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics) or equivalent practical experience. * Execution \& Soft Skills: Strong executive presence, cross\-functional influence, and the ability to turn ambiguity and complex data into tangible business outcomes. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines. Key Skills: Data Science, Python, SQL, Statistics Salary: $2