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Added 8 mins ago
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eBay

Data Scientist

Toronto, ON, Canada

Pay: C$141,600 - C$189,000
Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

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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.

About the team and the role:
At eBay, we connect millions of buyers and sellers around the world, creating economic opportunity for individuals, entrepreneurs, and businesses of all sizes. The Seller Experience team is focused on making it easier and faster for anyone to sell on eBay by combining AI, automation, and intuitive product design to create smarter, more personalized selling journeys.
As a Senior Data Scientist, you will serve as a senior analytics leader for the Selling Experience product area, helping shape product strategy through rigorous experimentation, causal analysis, and scalable data products. You will partner closely with Product and Engineering leaders, mentor junior data scientists, and independently lead complex, high-visibility analytics workstreams across initiatives such as Magical listing flow, personalized seller guidance, AI-powered insights, and experimentation infrastructure. This role is ideal for someone who thrives in ambiguity, brings deep technical expertise, and is excited to scale team impact through AI-powered analytics capabilities and reusable self-serve tools.

What you will accomplish:

Lead high-impact experimentation and causal analysis across Selling Experience, designing A/B tests and quasi-experimental approaches that generate reliable insights for complex product decisions and roadmap investments.
Shape product strategy by proactively identifying growth opportunities, diagnosing seller friction points, and translating ambiguous business questions into clear analytical frameworks and actionable recommendations.
Serve as the analytics anchor for the product area by partnering with Product, Engineering, and business leaders in senior cross-functional forums to align measurement approaches, priorities, and decision-making.
Build and scale reusable analytics foundations - including experimentation frameworks, data models, monitoring, and shared tooling - that improve measurement quality and increase team velocity over time.
Advance team capabilities by developing AI-powered analytics agents and self-serve data products that help partners access insights faster, make stronger decisions independently, and reduce manual analytical overhead.
Raise the bar for analytical excellence by mentoring junior data scientists, guiding technical approaches, and championing high standards for data quality, instrumentation, and measurement reliability across the seller experience.

What you will bring:

Master’s or Ph.D. in Data Science, Statistics, Economics, Computer Science, or a related quantitative field, with 7+ years of experience in product analytics, data science, or a similar analytical role.
Deep expertise in experimentation and measurement, including A/B testing, advanced experimental design, causal inference, statistical modeling, and other quantitative methods used in complex product environments.
Strong SQL skills and experience working with large-scale, complex datasets to deliver rigorous analysis, scalable data models, and decision-ready insights.
Hands-on experience applying LLMs or generative AI to analytics or product use cases, including prompt design, evaluation frameworks, AI-assisted workflows, or AI-powered feature integration.
Demonstrated success building or contributing to AI agent systems, self-serve data products, or shared analytics tooling that improves team efficiency and broadens access to insights.
Proven ability to independently lead high-visibility analytics workstreams, mentor junior team members, and communicate clearly with senior cross-functional stakeholders; experience in marketplace, ecommerce, or large-scale technology products is a plus.

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 multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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

The Senior Data Scientist will lead high-impact experimentation and causal analysis to shape product strategy for the Selling Experience team. They will also build scalable analytics foundations and AI-powered tools while mentoring junior team members to ensure analytical excellence.

Requirements

Candidates must hold a Master’s or Ph.D. in a quantitative field with at least 7 years of experience in product analytics or data science. Strong proficiency in SQL, experimental design, and hands-on experience with LLMs or generative AI is required.

Skills

Data science
Statistics
Economics
Product analytics
A/B testing
Experimental design
Causal inference
Statistical modeling
SQL
Large-scale datasets
LLMs
Generative AI
AI agent systems
Data modeling
Mentoring
Stakeholder management

Benefits

Medical benefits
Financial benefits
RRSP eligibility
Paid time off
Parental leave
Restricted stock units
Target bonus

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistics
Economics
Computer Science
Product Analytics
A/B Testing
Causal Inference
Statistical Modeling
SQL
LLMs
Generative AI
AI Agents
Data Modeling
Marketplace
Ecommerce
Experimentation
Instrumentation
Data Quality
Automation
Product Strategy
Analytics
Machine Learning
Data Products
Scalable Systems
Cross-functional Leadership

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