Data Scientist, Selling Experience

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
eCommerce • Retail
The Role
The Data Scientist will develop analytics and AI-powered solutions, run A/B tests, and work on improving seller experiences through data insights. Responsibilities include creating measurement frameworks, building dashboards, and collaborating with product and engineering teams.
Summary Generated by Built In

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.

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

  • Master's + 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 LLM/GenAI 

  • Experience building scalable analytics tools, data models, or experimentation frameworks

Why Join This Team

You will play a key role in shaping the future of AI-powered selling at eBay. Your work will directly influence product strategy, accelerate innovation, and improve the experience for millions of sellers worldwide. You will operate at the intersection of analytics, product, and AI—solving high-impact problems and helping drive marketplace growth through data-driven decision-making.

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 [email protected]. 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.


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Top Skills

SQL
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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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