Data Scientist, Selling Experience
eBay
eBay is hiring talented professionals for the position of Data Scientist, Selling Experience in Bengaluru, India. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Data Scientist, Selling Experience |
| Location: | Bengaluru, India |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Data Scientist, Selling Experience is a Strategic Career Move in 2026
Joining eBay as a Data Scientist, Selling Experience offers excellent growth prospects. Here's why this role is trending:
- Senior potential is huge, with paths leading to AI Architect or Chief Data Officer.
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
Industry Insight: Data Scientist roles in Bengaluru, India are currently seeing high demand.
Organization / Company Name
eBay
(See full description for company details)
🎯 How to Prepare for Data Scientist, Selling Experience Role
To crack the interview at eBay, focus on the following:
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
- Work on real-world datasets from Kaggle to showcase your skills.
- Understand the basics of MLOps and model deployment.
Important Dates
- Posted On: 04 April 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
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.
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of eBay.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
Disclaimer: This job posting is for information purposes only. We are not associated with eBay directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
