Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

45,746 listings · 6,549 employers Counted Oct 3, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (612 listings), Scotiabank (590 listings), TD (406 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

6,616 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	3,997
CAD / hour	23.34	1,900
USD / year	120,000.00	349
USD / hour	20.00	105
GBP / hour	35.00	14
CAD / month	4,054.00	12
CAD / week	868.50	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 29% hybrid, 70% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Vaughan, ON and nearby

Within 25 km

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Added 11 hours ago
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eBay

Manager, Data Science – Risk & Trust

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: BA/BS with 8+ years, or Masters/PhD with 6+ years of experience in Data Science, Analytics, Quantitative Research, or a related field
Posting language: English
Posted: Oct 1, 2026

Original 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.

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.

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.

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More about this job

Responsibilities

You will lead the analytical strategy for Trust & Risk domains, defining enterprise-scale measurement frameworks to identify and reduce transaction risk. Additionally, you will partner with senior leadership across product, engineering, and policy to drive evidence-based decisions that enhance marketplace safety.

Requirements

Candidates must have 6-8+ years of experience in Data Science or quantitative research with a strong technical foundation in Python, R, and SQL. Proven ability to lead complex analytical workstreams and influence cross-functional stakeholders at an executive level is required.

Skills

Data Science
Analytics
Python
R
SQL
Quantitative Research
Statistical Methods
Risk Management
Fraud Detection
Machine Learning
NLP
GenAI
Strategic Planning
Executive Communication
Cross-functional Leadership
Measurement Frameworks

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Risk Management
Trust & Safety
Marketplace
E-commerce
Python
R
SQL
Quantitative Analysis
Statistical Methods
Fraud
Transaction Risk
Machine Learning
NLP
GenAI
Strategic Analytics
Measurement Frameworks
Decision Quality
Return On Investment
Cross-functional Collaboration
Executive Communication
Data-driven Decision Making
Product Strategy
Engineering
Policy
Analytics Leadership
Risk Exposure
Marketplace Safety
Enterprise Benchmarks
Mentorship

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