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Manager, Data Science – Risk & Trust

Toronto, Ontario, Canada

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Define analytical strategy across Trust & Risk domains

  • Build enterprise benchmarks for transaction risk and false positives

  • Lead multiple high-impact analytical workstreams at once

  • Guide senior leaders across Trust, Product, Finance, Engineering and Policy

  • Mentor and develop other data scientists

From the employer’s posting
Define and drive analytical strategy across Trust & Risk domains
Build enterprise-scale benchmarks and quantitative frameworks for transaction risk, decision quality, false positives
Lead simultaneous high-impact analytical workstreams
Guide senior leaders across Trust, Product, Finance, Engineering, and Policy
Mentor and develop other data scientists

What you’ll bring

All qualifications

Preferred experience

  • Prior experience in marketplace trust, fraud, transaction risk, or e-commerce
  • Experience in a leading technology or e-commerce company
  • Familiarity with machine learning, NLP, or LLM/GenAI applications
Qualification wording
Prior experience in marketplace trust, fraud, transaction risk, or e-commerce
Experience in a leading technology or e-commerce company
Familiarity with machine learning, NLP, or LLM/GenAI applications
Education & alternatives
What we're looking for - BA/BS with 8+ years, or Masters/PhD with 6+ years of experience in Data Science, Analytics, Quantitative Research, or a related field - Demonstrated ability to move from ambiguous business problems to structured analytical strategies with measurable organizational impact

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
- Demonstrated ability to move from ambiguous business problems to structured analytical strategies with measurable organizational impact - Strong technical foundation: proficiency in Python or R, SQL, and applied quantitative/statistical methods - Proven experience leading multiple complex analytical workstreams simultaneously and driving sustained outcomes

Posting record

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Live
First seen by us
Oct 2, 2026 · 23 days ago
Recorded sightings
75
Last seen by us
Oct 25, 2026

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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.

Build the future of safe commerce


Millions of people buy and sell on eBay every day, making it one of the largest and most diverse marketplaces worldwide. A group of analysts, scientists, and strategists work behind the scenes to keep the platform safe, fair, and dependable. We are searching for an outstanding Data Scientist to join eBay’s Trust & Risk Analytics team in Toronto and help define marketplace safety at scale.


The opportunity


This is not a role for someone who wants to run analyses in isolation. As a Data Scientist in Trust & Risk, you will operate as a strategic analytics partner to senior leaders across Trust, Risk, Product, Engineering, Policy, and Shipping. You will build how eBay identifies, measures, and reduces transaction risk — and your work will directly influence platform decisions affecting hundreds of millions of users globally.


You will lead the analytical approach for several complex workstreams, such as seller risk, buyer risk, account risk, eBay Money Back Guarantee, and shipping loss. You will also develop measurement and decision frameworks that promote accountability and influence business outcomes throughout the organization.


What you'll do


  • Build Trust & Risk Strategy: Define and drive analytical strategy across Trust & Risk domains, translating organizational objectives into measurable priorities
  • Define Enterprise Measurement: Build enterprise-scale benchmarks and quantitative frameworks for transaction risk, decision quality, false positives, residual exposure, and return on investment
  • Lead Across Workstreams: Lead simultaneous high-impact analytical workstreams, connecting insights across risk vectors and organizational boundaries
  • Influence Cross-Functional Decisions: Guide senior leaders across Trust, Product, Finance, Engineering, and Policy with clear, compelling, evidence-based recommendations
  • Identify & Prioritize Opportunities: Identify and prioritize the highest-value opportunities across customer experience, marketplace risk, and transaction loss
  • Raise the Analytical Bar: Mentor and develop other data scientists, raising the quality of analytical thinking and execution across the team

What we're looking for


  • BA/BS with 8+ years, or Masters/PhD with 6+ years of experience in Data Science, Analytics, Quantitative Research, or a related field
  • Demonstrated ability to move from ambiguous business problems to structured analytical strategies with measurable organizational impact
  • Strong technical foundation: proficiency in Python or R, SQL, and applied quantitative/statistical methods
  • Proven experience leading multiple complex analytical workstreams simultaneously and driving sustained outcomes
  • Outstanding executive communication skills — you make the complex simple and the insightful actionable
  • Track record of influencing cross-functional decisions at senior levels without relying on direct authority

Preferred experience


  • Prior experience in marketplace trust, fraud, transaction risk, or e-commerce
  • Background in developing enterprise measurement frameworks for loss, decision quality, or risk exposure
  • Experience in a leading technology or e-commerce company
  • Familiarity with machine learning, NLP, or LLM/GenAI applications

Why ebay


eBay is a passionate company with nearly 30 years of history connecting buyers and sellers across 190 markets. The Trust & Risk team is central to that mission — and this role is one of the most strategically visible in the organization. You'll have the scale to make an impact, the autonomy to lead, and the opportunity to build something that protects real people. Join us in Toronto and help create a safer, more trusted global marketplace!

Additional Details

This job posting relates to an existing vacancy within eBay.

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, 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.

 

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Location & working pattern

Toronto, Ontario, Canada

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