Jobs / United States / Ebay INC
Data Scientist - 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 roles1 certified filing for “Manager, Trust Strategy & Ops eBay Live” (Project Management Specialists) in UT: $90k–$90k, median $90k. Most were filed at wage level II (100%) — 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.
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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 eBay Live eBay Live is eBay’s interactive live shopping experience where sellers and creators stream in real time and buyers engage through chat, bidding, and instant purchases. It blends entertainment, community, and commerce into a dynamic, trust‑backed way to discover and shop. Join us to build the analytics and AI backbone that powers discovery, engagement, and quality moderation across Live. It’s a high‑visibility, priority growth initiative with significant runway - an opportunity to deliver measurable impact at marketplace scale. Opportunity As a Senior Data Scientist , you will independently operate as a trusted Analytics Thought Partner for a specific eBay Live pillar - leading moderate‑to‑complex analyses end‑to‑end, actively engaging stakeholders, resolving ambiguous problems, and prioritizing the most impactful work. Specifically you will be part of the journey to build the Data Science engine powering eBay Live hyper‑growth across pillars such as Seller Product and Success, Buyer Product, Categories/Markets expansion, Trust & Safety, Data Foundation, and Business Performance; and to deliver measurable impact in product strategy, growth, and marketplace efficiency through causal measurement, experimentation, marketplace and risk modeling, and production‑grade insights/dashboards. What You’ll Do You will focus on one of the following pillars: • Buyer Product Analytics : Lead end‑to‑end analyses for live commerce features; define product metrics; build dashboards; run experiments that inform the roadmap and growth. Choose appropriate methods and operate with minimal guidance. • Seller Product & Seller Success : Design growth experiments; analyze onboarding, listing quality, conversion, and retention; propose interventions; track impact with rigorous measurement and reporting. • Categories & Markets Expansion : Model category–market dynamics; size opportunities; build selection/expansion frameworks; recommend sequencing and launch decisions; contribute lightweight data engineering (e.g., derived tables) to unblock analyses. • Trust & Safety : Analyze marketplace risk signals; partner on guardrail design and monitoring; apply practical ML/AI; refine test designs and metrics to reduce false positives while preserving good‑actor experience. • Data Foundation & Instrumentation : Clarify metric taxonomies; ensure instrumentation quality; build curated datasets and dashboards; troubleshoot data issues; automate recurring tasks with a product‑first mindset. • Business Performance : Own KPIs within scope; synthesize daily/weekly/monthly/quarterly performance narratives; surface opportunities/risks; influence decisions with evidence‑based recommendations and audience‑appropriate storytelling. What You Bring • Advanced analytics and causal inference (uplift, diff‑in‑diff, CUPED), robust A/B test design, and strong judgment in method selection for ambiguous problems. • Technical toolkit : SQL/Python, dashboarding (e.g., Tableau/Looker), familiarity with applied ML/AI, and the ability to optimize queries and contribute light