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Data Scientist

Toronto, Ontario, Canada

Live, first seen by us 43 days ago
Pay
CAD 141,600–189,000/year · BaseAnnual period assumed. Location-specific pay — pay source
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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design A/B tests and quasi-experimental studies to guide complex product decisions

  • Diagnose seller friction points and turn business questions into analytical recommendations

  • Build experimentation frameworks, data models, monitoring and shared analytics tooling

  • Develop AI-powered analytics agents and self-serve data products for partners

  • Mentor junior data scientists and set standards for data quality and measurement

From the employer’s posting
Lead high-impact experimentation and causal analysis across Selling Experience, designing A/B tests and quasi-experimental approaches
diagnosing seller friction points, and translating ambiguous business questions into clear analytical frameworks and actionable recommendations
Build and scale reusable analytics foundations—including experimentation frameworks, data models, monitoring, and shared tooling
Advance team capabilities by developing AI-powered analytics agents and self-serve data products
mentoring junior data scientists, guiding technical approaches, and championing high standards for data quality, instrumentation, and measurement reliability
Education & alternatives
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.
Apply at eBay

Posting record

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Status in our records
Live
First seen by us
Oct 2, 202643 days ago
Recorded sightings
103
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 43

Similar jobs usually come down between day 8 and day 60.

At eBay, jobs usually come down by about day 37.

From 11,862 similar postings that came down, and 68 of eBay’s. Coming down is not always a hire.

eBay is hiring

33 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • SQL
Where the posting names them
- 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.

Your next step

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Has eBay posted this job before?

Yes. We’ve followed 4 other Data Scientist jobs there since August 2026. One came down after 0 days. 3 are still up.

  1. BengaluruStill up after 87 days, first seen Aug 19
  2. BengaluruStill up after 87 days, first seen Aug 19
  3. This jobUp 43 days so far, first seen Oct 2
  4. BengaluruCame down after 0 days, first seen Nov 13
  5. BengaluruStill up after 1 day, first seen Nov 13

Large employers often post one title for several teams, so these can be separate openings.

About eBay

People
About 12,300 in 2025, up 7% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EBAY.
H-1B visas
155 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 670 people. The latest was filed October 21, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

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.

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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Pay
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.
Location & working pattern

Toronto, Ontario, Canada

Working pattern and location restrictions need checking in the full posting.

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