Data Science, Selling Experiences

eBay
Bengaluru, Karnataka, India

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 talent@ebay.com. 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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Questions about this job

How do I apply for the Data Science, Selling Experiences job at eBay?

Use the apply link on this page: you apply directly with eBay on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does eBay want for this Data Science, Selling Experiences role?

The job description asks for Master’s degree or equivalent in Data Science, Statistics, Economics, Computer Science, or a related quantitative field, 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 and Strong communication skills with the ability to influence both technical and non-technical stakeholders. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at eBay?

Apply to the eBay roles that match your experience, and tailor your resume to each job description: for this role that means showing Master’s degree or equivalent in Data Science, Statistics, Economics, Computer Science, or a related quantitative field, Strong SQL skills and experience working with large-scale, complex datasets, Hands-on experience designing, executing, and analyzing A/B tests. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Science, Selling Experiences job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with eBay, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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