Sr. Data Science Analyst

About the job

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 eBayAt 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 worldwide. We’re committed to pushing boundaries and shaping 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 RoleThe Focus Category team partners closely with product and business stakeholders to enable data-driven decision-making and drive the success of eBay’s category initiatives. We are a dynamic, results-oriented team working on high-impact projects in collaboration with global partners. We are seeking a high-energy, analytical, and collaborative team member with strong problem-solving abilities, sound business judgment, and deep analytical expertise. The ideal candidate will apply advanced analytics and data science techniques to: • Drive innovation, • Build scalable data products, and • Deliver actionable recommendations through rigorous analysis. Key Responsibilities • Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions. • Drive product decisions using A/B testing techniques and experimental design. • Lead innovation and continuous improvement within the Focus Category Analytics team. • Develop data products that enable faster and more accurate decision-making. • Leverage advanced analytics tools and data science models to solve category-level challenges. • Collaborate with cross-functional teams — including Business, Product Management, Engineering, and Finance — to identify, prioritize, and resolve key business challenges. • Serve as a trusted partner and advisor to senior leaders, translating complex analytical insights into actionable business recommendations. • Create tools, dashboards, and reports to monitor and ensure program success. Additional Requirements • This role operates in a hybrid work model. • Flexibility to attend late evening meetings (audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings. What We Expect From You • Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. • Master’s degree or MBA preferred. • 6+ years of experience in data science, analytics, or a related field. • Strong analytical skills with proficiency in: • SQL • Excel • Data visualization tools (e.g., Tableau, Power BI, Looker) • Proficiency in statistical programming languages such as Python or R. • Background in product analytics, with hands-on experience in A/B test design and measurement preferred. • Proven track record of using analytics and data science to: • Drive significant business impact, • Build predictive models, and • Solve optimization or elasticity problems. • Excellent communication skills with the ability to translate technical findings into business insights for non-technical audiences. • Experience working in a fast-paced, cross-functional environment.

Requirements

• SQL
• Excel
• Data visualization tools
• Python
• A/B testing

Qualifications

• Bachelor’s degree
• Master’s degree or MBA preferred

Preferred Technologies

• SQL
• Excel
• Data visualization tools
• Python
• A/B testing

About the company

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.