Manager, Data Science

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. About the team and the role   The Consumer-to-Consumer (C2C) team focuses on creating a simple, safe, and engaging selling experience for eBay sellers - from listing and shipping to getting paid and growing their side-hustle. Within this space, the Analytics team plays a central role in shaping product and business strategy and in guiding decisions that influence the product roadmap and marketplace performance. As Manager, Data Science - Analytics 1 in the Indian Analytics Centre, you will support the analytics strategy for C2C M&A integrations. This role combines hands-on technical work with strong cross-functional collaboration. You will partner with product, engineering, peer analytics teams, and business stakeholders to deliver scalable data solutions, advance experimentation practices, and develop AI-enabled tools that improve decision-making and seller outcomes.   What you will accomplish Support C2C product analytics and experimentation strategy for M&A integrations. Support the leadership team in measuring, understanding, and driving success for eBay sellers through data science analysis, reporting, and competitive intelligence. Define and implement consistent metrics, experimentation frameworks, and measurement standards to support data-driven decision-making. Support AI-focused initiatives by prototyping and delivering data products and tools that enhance product performance and automate analytical workflows. Establish high standards for data quality, instrumentation, and metric definitions, aligning data architecture and semantic layers across teams. Own business performance tracking through domain scorecards, support regular reviews, and translate insights into clear recommendations for leadership and stakeholders. Partner with product, engineering, and business stakeholders to prioritise initiatives, remove bottlenecks, and deliver impactful outcomes. Develop scalable processes and solutions that improve the speed, quality, and effectiveness of analytics across the organisation.

Required qualifications Bachelor's or Master's degree (or equivalent practical experience) in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field. 7+ years of Experience. Strong hands-on SQL skills, including experience working with large and complex datasets. Ability to create intuitive, user-friendly dashboards and data visualisations using appropriate BI or analytics tools, with a strong focus on usability, clarity, and actionable insights. Exposure to A/B testing, causal inference, or quasi-experimental methods. Experience in product analytics, including funnel analysis, feature adoption, customer behaviour, performance measurement, and insight generation. Strong analytical and problem-solving skills, with attention to data quality, metric definitions, and methodological rigour. Ability to connect data with product and business context and convert findings into clear, actionable recommendations. Effective written and verbal communication skills, with the ability to collaborate across product, engineering, business, and analytics teams. Ability to manage multiple priorities, work independently, and deliver high-quality outcomes in a fast-paced environment. An