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.
Bengaluru, Karnātaka, India
Actively hiring, first seen by us 5 days agoDesign, 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
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
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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
Complete your application on ebay.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bengaluru, Karnātaka, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.