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Data Scientist

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Work setting
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Employment
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Education & alternatives
To be successful in this role: - Educational Background & Experience: BA/BS degree with 2+ years of relevant experience, or an advanced degree with relevant experience, across areas such as Quantitative Research, Analytics, or Data Science. - Data Analysis Expertise: Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights.
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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 60.

At eBay, jobs usually come down by about day 37.

From 11,733 similar postings that came down, and 68 of eBay’s. Coming down is not always a hire.

eBay is hiring

32 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
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • R
  • SQL
Where the posting names them
- Data Analysis Expertise: Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights. - Technical Skills: Proficiency in programming (Python/R) and data querying (SQL). - Problem-Solving: Strong analytical thinking and creativity in solving structured and moderately ambiguous problems.

Your next step

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Has eBay posted this job before?

Yes. We’ve followed 4 other Data Scientist jobs there since August 2026. One came down after 0 days. 3 are still up.

  1. BengaluruStill up after 86 days, first seen Aug 19
  2. BengaluruStill up after 86 days, first seen Aug 19
  3. TorontoStill up after 42 days, first seen Oct 2
  4. BengaluruCame down after 0 days, first seen Nov 13
  5. This jobUp 0 days so far, first seen Nov 13

Large employers often post one title for several teams, so these can be separate openings.

About eBay

People
About 12,300 in 2025, up 7% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EBAY.
H-1B visas
155 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 670 people. The latest was filed October 21, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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.

Want to help change the future of retail? Are you looking for a unique and visible role within Trust & Risk Data Science at eBay?

Fast-paced, dynamic, and proactive, eBay’s Trust & Risk team is dedicated to making eBay a safe and trusted platform for the millions of buyers and sellers who make up the eBay community.

Key Trust & Risk initiatives at eBay span platform communications, seller protections and policy experiences, buyer and seller feedback, the eBay Money Back Guarantee, seller performance, new seller onboarding, and transaction risk management. The team is committed to maintaining and enhancing eBay as a safe and reliable marketplace while strengthening how we measure, understand, and reduce transaction-related losses. We continuously improve the customer experience while ensuring eBay remains a secure and trusted global marketplace.

As a Data Scientist in the Trust & Risk team at eBay, you will work with Trust and Risk business teams and partner teams across Product, Engineering, Policy, Shipping, and Design to analyze marketplace problems, identify opportunities, and support data-driven decision-making. Your role will involve using analytics and quantitative methods to understand customer and transaction risk trends, measure business impact, and evaluate opportunities to improve customer experience and reduce losses. You will also contribute to the development of metrics, analytical frameworks, and scalable insights across the Trust & Risk organization.

Responsibilities:

  • Generate Analytical Insights: Apply analytical and quantitative methods to understand Trust & Risk business problems and provide insights that support business and operational decisions.

  • Analyze & Identify Opportunities: Conduct analyses of marketplace and transaction risk issues to identify opportunities to improve customer experience, strengthen trust, and reduce losses for buyers, sellers, and eBay.

  • Define & Monitor Metrics: Develop and monitor Key Performance Indicators (KPIs) and supporting metrics related to customer trust, transaction risk, loss, decision quality, and customer experience. Investigate underlying drivers of metric movements and surface actionable insights.

  • Deliver Results: Support business objectives by executing analytical projects, measuring outcomes, and translating findings into recommendations that improve customer experience and business performance.

  • Cross-Functional Collaboration: Work closely with partners across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to understand business questions and incorporate analytical insights into decision-making.

To be successful in this role:

  • Educational Background & Experience: BA/BS degree with 2+ years of relevant experience, or an advanced degree with relevant experience, across areas such as Quantitative Research, Analytics, or Data Science.

  • Data Analysis Expertise: Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights.

  • Technical Skills: Proficiency in programming (Python/R) and data querying (SQL).

  • Problem-Solving: Strong analytical thinking and creativity in solving structured and moderately ambiguous problems.

  • Execution & Results: Ability to independently execute well-scoped analytical projects and deliver high-quality results.

  • Customer & Business Orientation: Ability to understand customer and business needs and use data to evaluate trade-offs across customer experience, risk, and business outcomes.

  • Communication: Ability to clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.

  • Availability: Flexible and capable of working remotely across multiple time zones. Regular availability is required for meetings between 9:00 AM and 12:00 PM (PDT).

Additionally, the following background and experience is helpful:

  • Prior experience in marketplace Trust, Risk, fraud, or transaction risk analytics.

  • Experience working with customer, transaction, risk, or loss-related datasets.

  • Ability to present complex analyses and insights effectively in simple terms.

  • Experience in a technology company.

  • Background in e-commerce products, marketplaces, payments, or shipping.

  • Experience with Natural Language Processing or LLM/GenAI is a plus.

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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