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Data Science, Selling Experiences

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Work setting
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What you’ll work on

Full posting
  • Design, run, and analyze A/B tests for product and AI-powered features

  • Define success metrics and experimentation strategies for launches

  • Analyze seller funnels and behavior to improve activation and success

  • Build pipelines, dashboards, and monitoring for product performance

  • Turn complex analyses into actionable recommendations for partners

From the employer’s posting
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
Build scalable data pipelines, dashboards, and monitoring tools to track product performance and experimentation results
Translate complex analyses into clear, actionable insights and recommendations for technical and non-technical partners
Apply at eBay

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 7 and day 55.

At eBay, jobs usually come down by about day 43.

From 10,040 similar postings that came down, and 61 of eBay’s. Coming down is not always a hire.

eBay is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

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  • SQL
Where the posting names them
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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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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Bengaluru, Karnātaka, India

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