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eBay10K+ employees

Director Data Science, eBay Live

United States$209,200 – $279,300Posted 8 days ago

Immigration summary

Visa sponsorship

LikelyMedium confidence

This employer has recently sponsored work like this.

684 recent H-1B filings

View visa evidence

Green card sponsorship

Strong historyHigh confidence

This employer has recently sponsored green cards at scale.

193 recent certified PERM filings · 10 similar-role filings

View green card evidence

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.

The Role:

The Director of eBay Live Data Science will be responsible for setting the vision and strategy to create the thinking, systems, and processes to advance our business through Data Science and Analytics. This role will lead a team of analysts and data scientists to drive proactive insights and identify growth opportunities for our customers.

This leader will bring technical, analytical, and strategic strengths with a deep background in statistics, mathematics, and/or engineering. We are looking for a very customer-focused data science senior leader who can contribute and build breakthrough, outstanding analytical solutions to help solve sophisticated problems and drive key business decisions. Analytics at eBay is a multidisciplinary craft and it is foundational; it is a strategic arm that heavily influences critical decisions made by eBay leaders.

Responsibilities:

  • Scale the capabilities of the Data Science team to drive better business decisions for the eBay Live business, product and cross-functional initiatives.

  • Develop globally consistent analytical frameworks and metrics to better understand the customer and business impact of our product teams so that eBay can optimize investments and drive growth.

  • Manage product analytics team, perform discovery analytics and drive best practices in experimentation.

  • Apply data and behavioral science to solve customer problems.

  • Develop outstanding automated self-serve dashboard solutions.

  • Provide technical expertise in developing methods for measuring business performance and research the use of sophisticated mathematical, statistical, and experimental tools & techniques

  • Articulate requirements and coordinate with data infrastructure teams to increase availability of new internal and external tools and datasets in to unlock new insights.

  • Support training, development, recruiting, and inspiration in the decision science team.

  • Communicate with and present regularly to eBay’s executives & leadership team.

Job requirements:

  • Confirmed analytics and data science leader that has built impactful analytical capabilities within a large global company

  • 12+ years of experience analyzing large, sophisticated, multifaceted data sets in relational databases and non-relational databases using querying languages and analytics automation tools.

  • Strong technical and quantitative background with master’s degree or equivalent experience in computer science, Math, Physics, or Engineering.

  • Ability to collaborate with key partners in a fast-paced and highly matrixed environment including business, product, marketing, technology, and finance in order to plan and implement eBay’s analytics roadmap.

  • Highly analytical, strategic, and diligent, with a dedication to excellence and a passion for understanding the business implications of analyses.

  • Ability to influence and drive execution across organizational lines.

  • Experience with data and analytical tools including R and Python.

  • Knowledge of statistics (e.g., multivariate statistics, predictive modeling, controlled test design).

  • Excellent management, recruiting, mentor, team-building, and organizational skills.

  • Ability to identify and take on critical projects, as well as lead multiple projects simultaneously in a dynamic, changing environment.

  • Willing to take calculated risks and make decisions with imperfect information.

Additional Details

The base pay range for this position is expected in the range below:

$209,200 - $279,300

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 401(k) eligibility and 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.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

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, veteran status, 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 for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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 Guideline.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

684
recent certified H-1B filings
288
new-hire petitions
0
filings for similar roles
681
so far in FY2026

Filed titles like this role: data scientist · data scientist 1 · data scientist 2 · manager data science

More evidence details
  • 10 certified H-1B filings for closely related roles, though none for this exact title
  • 684 recent certified H-1B filings across the employer
  • Still filing this year — 681 filings in FY2026
  • 368 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • 1,807 further USCIS approvals for extensions or transfers
  • The supporting filings are for related work, not for this exact role
  • The posting says nothing about sponsorship either way
  • No filing activity is recorded for this job's location

Green card sponsorship evidence

Employer PERM history

193
recent certified PERM filings
10
filings for similar roles
Certified PERM filings by fiscal year
2023243
2024134
2025208
2026146YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at eBay
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 294 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.