Jobs / United States / Ebay INC
Senior Manager, Data Science & Analytics
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 roles15 certified filings for “Manager, Data Science - Analytics 2” (Information Technology Project Managers) in CA: $198k–$220k, median $206k. Most were filed at wage level III (53%) — 3 lottery entries, ≈46% 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.
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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. About the team and the role: Want to help shape the future of retail? Are you looking for a highly visible role helping to define and scale Live commerce at eBay? Fast-paced, dynamic, and proactive, eBay Live’s Trust & Safety teams are dedicated to creating the world’s most secure and trusted live shopping experience. Working at the intersection of innovation, risk management, and customer trust, our teams help enable the safe, sustainable, and scalable growth of the eBay Live ecosystem while protecting buyers, sellers, and creators across the platform. As a Senior Manager of Data Science and Analytics, you will lead a team of data analysts partnering directly with the eBay Live business unit (specifically their interactions with the Trust, Risk, and Compliance organizations) to identify opportunities, assess business impact, and translate insights into operational and strategic decisions. You will leverage advanced analytics and predictive modeling to guide marketplace decisions, helping the organization proactively manage risk while supporting growth objectives. In addition, you will help define the team’s analytical roadmap, develop scalable data infrastructure and measurement frameworks, and drive operational excellence across eBay Live’s Trust & Safety initiatives. Your work will play a critical role in enabling data-driven decision making and delivering measurable impact across one of eBay’s most innovative and rapidly evolving businesses. What you will accomplish: Team Leader: Lead, mentor, and assist in the development of the data science and analytics team. The role will manage a team of high-impact, motivated data scientists. Drive Strategic Insights: Utilize strategic, operational, and analytics processes to secure agreement for long-term solutions, influencing leaders across the eBay Live organization and fostering a culture of achieving goals. Analyze & Identify Opportunities: Conduct analysis of key issues to identify significant opportunities for improving customer experience for buyers and sellers on the eBay Live platform. Define & Monitor Metrics: Develop Key Performance Indicators (KPIs) to track the experience of users on the eBay Live platform. Monitor these metrics to understand the underlying causes of metric movements. Accountability & Results: Define business objectives and measure progress in achieving results. Commit to goals and lead complex projects focused on enhancing customer experience, and delivering top- and bottom-line results for eBay. Cross-Functional Collaboration: Partner with leaders in Product Management, Analytics, Data Science, Engineering, and Design to integrate insights into operational strategies. Leadership & Communication: Demonstrate ownership and deliver results, set aggressive personal and team goals, communicate effectively, and resolve issues promptly. What you will bring: A Proven Leader Who: • Possesses strong skills to analyze data and identify root causes • Effectively leverages data to inform decisions • Takes responsibility and consistently delivers outcomes •