Jobs / United States / Ebay INC
Director Data Science, eBay Live
Ebay INC · 🇺🇸 San Jose
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ebay INC paid sponsored hires in similar roles21 certified filings for “Data Science - Analyst 5” (Data Scientists) in CA: $178k–$205k, median $190k. Most were filed at wage level II (73%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Ebay INC
The US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
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. 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 d