Data Science, Selling Experiences Professional
Summary
Senior Data Scientist at eBay in Bengaluru building AI-powered seller experiences: designing and analyzing A/B tests, defining metrics and experimentation frameworks, and running deep-dive analytics on seller behavior to guide the product roadmap. Core stack is SQL on large-scale data, statistics/causal inference, dashboards, and LLM/GenAI-driven insights.
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.
Job Summary
We are seeking a Data Scientist to help build the future of AI-powered selling experiences. In this role, you will partner 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. You will work on high-impact initiatives such as AI-assisted listing flows, personalized seller guidance, LLM-powered insights, and scalable experimentation frameworks that directly influence product roadmap and business outcomes. This role is ideal for a strong senior data scientist who can independently own analytics workstreams, apply structured thinking to ambiguous problems, and translate data into actionable recommendations that improve both user experience and 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 find opportunities to improve seller activation, efficiency, and success
- Partner closely with Product and Engineering teams to inform roadmap prioritization, feature design, and iteration decisions
- Conduct deep-dive analyses to understand performance across seller segments, categories, and product workflows
- Build scalable data pipelines, dashboards, and monitoring tools to track product performance and experimentation results
- Find opportunities to use AI and advanced analytics to improve seller experience and product effectiveness
- Translate complex analyses into clear, actionable insights and recommendations for technical and non-technical partners
- Improve analytics workflows and tooling to increase insights velocity, scalability, and impact
- Ensure data quality, tracking integrity, and measurement reliability to support accurate experimentation and decision-making
Required Qualifications
- Master s degree or equivalent in Data Science, Statistics, Economics, Computer Science, or a related quantitative field
- Masters + 4-7 years 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 designing, executing, and analyzing A/B tests
- Solid foundation in statistics, experimentation, modeling and causal inference
- Strong analytical thinking, problem-solving, and structured reasoning skills
- Experience partnering cross-functionally with Product and Engineering teams
- Ability to independently own analyses and translate data into actionable product insights
- Strong communication skills with the ability to influence both technical and non-technical stakeholders
Preferred Qualifications
- Experience working on marketplace, e-commerce platforms or large-scale technology products
- Experience with AI-powered product features or GenAI
- Experience building scalable analytics tools, data models, or experimentation frameworks
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.