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Lead Data Science

Toronto, Ontario, Canada

Live, first seen by us 72 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
  • Guide and support a group of high-performing analysts

  • Set analytics strategy and manage roadmaps for Financial Services

  • Define and track product performance measures and health monitoring

  • Run A/B tests, causal inference and predictive analytics for product strategy

  • Build dashboards and self-service data visualization tools

From the employer’s posting
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
Develop dashboards and other self-service data visualization tools.
Education & alternatives
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.
- 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.
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Posting record

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Status in our records
Live
First seen by us
Sep 3, 202672 days ago
Recorded sightings
99
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 72

Up longer than most. Similar jobs usually come down between day 8 and day 60.

Well past eBay’s usual: its jobs come down by about day 34.

From 11,873 similar postings that came down, and 69 of eBay’s. Coming down is not always a hire.

eBay is hiring

32 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
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • SQL
  • Hadoop
  • Spark
  • Tableau
Where the posting names them
- 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

Your next step

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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.

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 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.

Source details

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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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