Manager, Data Science (Analytics)
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. Location: Bangalore Experience: 6–9 years About the Role We are looking for an Analytics Manager to drive data-driven decision-making for eBay’s Incentives Strategy, focusing on Promotions and Special Pricing. This role sits at the intersection of analytics, product, and business strategy, and is critical in optimizing how incentives are designed, targeted, and evaluated at scale. Key Responsibilities • Drive analytics for promotion sizing, targeting, and overall incentives strategy. • Build scalable frameworks to measure and automate promo ROI and performance tracking. • Analyze seller behavior and inventory patterns, including cross-platform overlap, to inform pricing and incentive decisions. • Apply advanced analytics and machine learning techniques for segmentation, targeting, and impact measurement. • Partner with cross-functional teams to translate insights into actionable business strategies. Basic Qualifications • 6–9 years of experience in analytics, data science, or related roles. • Strong problem-solving and analytical skills with a business-first mindset. • Proficiency in SQL and Python/R for data analysis. • Experience with experimentation (A/B testing) and statistical methods. • Strong data visualization and storytelling skills. Preferred Qualifications • Exposure to applied machine learning (segmentation, prediction models, causal inference). • Experience working on pricing, promotions, or marketplace/e-commerce problems. • Familiarity with large-scale data environments (e.g., Spark, Hive, BigQuery). • Exposure to AI tools, automation frameworks, or agentic AI workflows. • Experience working with cross-functional global teams. What We’re Looking For • Ability to translate ambiguous business problems into structured analytical frameworks. • Strong ownership mindset and ability to drive end-to-end impact. • Curiosity to explore new techniques, especially in AI and automation. • Balance of technical depth and business acumen. Why Join Us • Opportunity to work on high-impact, revenue-driving problems. • Exposure to cutting-edge analytics and AI applications in e-commerce. • Collaborative environment with strong cross-functional learning. Additional Details 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. 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 .