Lead Data Science
Ebay INC · 🇨🇦 Toronto
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Ebay INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ebay INC →
About the role
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. At eBay, we're more than a global ecommerce leader — we’re transforming how people worldwide shop and sell. Our platform supports millions of buyers and sellers in over 190 markets globally. We’re dedicated to breaking new ground and making a lasting impact as we reshape the future of e-commerce for enthusiasts. Our customers guide us, authenticity flourishes, bold ideas are encouraged, and everyone can bring their outstanding 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 problem solvers, innovators, and dreamers — and help us connect people and build communities to develop economic opportunity for all. About the Role & Team: We are seeking a Manager of Payments Data Science and Analytics to lead our work in Financial Services. This role focuses on enabling payments cost savings and revenue growth within Product and Business domains. Successful candidates should have a strong background in data science and analytics. They must thrive in a fast-paced environment without being slowed by ambiguity or competing priorities. What You Will Accomplish: • Guide and support a group of high-performing analysts. • Set Analytics strategy, build and manage analytics roadmaps for Financial Services domain. • Define, build and track important measurements to evaluate product performance and lead product health monitoring. • Build and complete A/B tests, causal inference, predictive analytics to identify and quantify opportunities and drive product strategy and roadmaps. • Develop dashboards and other self-service data visualization tools. • Partner with cross functional teams (Engineering, Product, Business etc.) to identify, prioritize and solve business challenges & develop outstanding analytics solutions. What You Will Bring: • Bachelor's degree or equivalent experience in Computer Science, Engineering, Statistics, or other quantitative fields. Having a Master’s degree or equivalent experience is advantageous. • 8+ years of professional experience in using data to facilitate business decisions, 6+ years if possessing a Master's Degree or equivalent experience. • Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. • Excellent communication, able to summarize complex analytical results and implications to senior leadership and collaborators in a clear and actionable manner. • Proven track record of improving data science to drive significant business impact, preferably within a product organization. • Experience in efficient manipulation and analysis of large data sets. • Demonstrated ability to make decisions, adapt to change and deal with ambiguity. • Advanced understanding of big data technologies and tools (e.g., Hadoop, Spark, SQL, Tableau) and experimentation concepts. Additional Details The base pay range for this position is expected in the range below: C$141,600 - C$189,000 Base pay offered may vary depending on mul