Data Scientist, Selling Experience

Job Description

As a Data Scientist at eBay, you will be a crucial part of shaping the future of AI-powered selling experiences. Your role will involve partnering closely with Product and Engineering teams to develop analytics, experimentation strategies, and data-driven insights that simplify listing flow, improve listing quality, and accelerate seller growth. This is an ideal position for a senior data scientist who can independently own analytics workstreams, apply structured thinking to ambiguous problems, and translate data into actionable recommendations that enhance user experience and drive business performance.**Key Responsibilities:**- Design, implement, and analyze A/B tests to evaluate product features and AI-powered experiences- Define success metrics, measurement frameworks, and experimentation strategies to support product development and launches- Analyze user behavior, product funnels, and engagement patterns to identify opportunities for improving seller activation, efficiency, and success- Collaborate closely with Product and Engineering teams to guide roadmap prioritization, feature design, and iteration decisions- Conduct in-depth analyses to comprehend performance across seller segments, categories, and product workflows- Develop scalable data pipelines, dashboards, and monitoring tools to monitor product performance and experimentation outcomes- Identify ways to leverage AI and advanced analytics to enhance seller experience and product effectiveness- Translate complex analyses into clear, actionable insights and recommendations for technical and non-technical stakeholders- Enhance analytics workflows and tooling to increase insights velocity, scalability, and impact- Ensure data quality, tracking integrity, and measurement reliability to facilitate accurate experimentation and decision-making**Required Qualifications:**- Masters degree or equivalent in Data Science, Statistics, Economics, Computer Science, or a related quantitative field- 4-7 years with Masters degree or 6-9 years of professional experience in product analytics, data science, or a related analytical role- Strong SQL skills and experience working with large-scale, complex datasets- Hands-on experience in designing, executing, and analyzing A/B tests- Proficiency in statistics, experimentation, modeling, and causal inference- Strong analytical thinking, problem-solving, and structured reasoning skills- Cross-functional collaboration experience with Product and Engineering teams- Ability to independently lead analyses and translate data into actionable product insights- Effective communication skills to influence both technical and non-technical stakeholders**Preferred Qualifications:**- Background in marketplace, e-commerce platforms, or large-scale technology products- Experience with AI-powered product features or LLM/GenAI- Proficiency in building scalable analytics tools, data models, or experimentation frameworksJoining this team at eBay will give you the opportunity to be at the forefront of AI-powered selling innovation. Your contributions will directly impact product strategy, foster innovation, and enhance the experience for millions of sellers globally. You will be working at the intersection of analytics, product, and AI, tackling high-impact problems and driving marketplace growth through data-driven decision-making. As a Data Scientist at eBay, you will be a crucial part of shaping the future of AI-powered selling experiences. Your role will involve partnering closely with Product and Engineering teams to develop analytics, experimentation strategies, and data-driven insights that simplify listing flow, improve listing quality, and accelerate seller growth. This is an ideal position for a senior data scientist who can independently own analytics workstreams, apply structured thinking to ambiguous problems, and translate data into actionable recommendations that enhance user experience and drive business performance.**Key Responsibilities:**- Design, implement, and analyze A/B tests to evaluate product features and AI-powered experiences- Define success metrics, measurement frameworks, and experimentation strategies to support product development and launches- Analyze user behavior, product funnels, and engagement patterns to identify opportunities for improving seller activation, efficiency, and success- Collaborate closely with Product and Engineering teams to guide roadmap prioritization, feature design, and iteration decisions- Conduct in-depth analyses to comprehend performance across seller segments, categories, and product workflows- Develop scalable data pipelines, dashboards, and monitoring tools to monitor product performance and experimentation outcomes- Identify ways to leverage AI and advanced analytics to enhance seller experience and product effectiveness- Translate complex analyses into clear, actionable insights and recommendations for technical and non-technical s

Keyskills :
Data ScienceStatisticsEconomicsComputer ScienceSQLAnalyticsModelingCausal Inference