Data Science Intern - Summer 2027
Intern
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Lead data science strategy across eBay's Trust & Risk team in Toronto, developing analytical frameworks for marketplace safety and transaction risk across multiple workstreams. You'll partner with senior leaders across Trust, Product, Engineering, and Policy to translate business objectives into measurable strategies and influence platform decisions affecting hundreds of millions of users. This role requires 8+ years of data science or analytics experience (6+ with a Master's/PhD), strong proficiency in Python or R and SQL, and proven ability to manage complex analytical work while communicating insights to executives without direct authority.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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.
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.
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 [email protected]. 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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eBay operates a global online marketplace connecting buyers and sellers of new, used, collectible, refurbished, and hard-to-find goods. Individuals, small businesses, and professional merchants list inventory across categories ranging from electronics and fashion to auto parts and collectibles. The platform provides search, pricing, payments, shipping, advertising, authentication, seller tools, and buyer-protection services. eBay's marketplace model is especially associated with recommerce and enthusiast categories where selection, condition, and individual listings matter.
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