Jobs / United States / Ebay INC
Senior Data Science Analyst - Shipping
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.
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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: eBay’s Global Shipping Analytics group determines how buyers and sellers connect with shipping on one of the world’s largest e-commerce platforms. We investigate some of the richest datasets in commerce and apply advanced statistical analysis and computational techniques to identify insights that improve delivery speed, reliability, and visibility. In your position as a Data Science Analyst on this team, you will serve as both a functional leader and an individual contributor. You will collaborate with data science, product, and business analytics to influence the shipping product roadmap and business strategy. You will work closely with product managers, business leaders, technical departments, and financial teams. Together, you will identify growth and efficiency opportunities throughout the global shipping ecosystem. What you will accomplish: • Break down complex shipping and customer experience challenges into structured analytical problems. Use hands-on data science and analytics to generate insights. These insights directly advise product and business decisions. • Develop and refine analytical frameworks, dashboards, and prototype models that uncover trends and opportunities in eBay’s shipping ecosystem, aiding teams in prioritizing high-impact initiatives. • Collaborate with product, business, engineering, and finance partners to build and assess shipping initiatives. Ensure key decisions rely on data and match eBay’s strategic goals. • Identify opportunities for growth, cost savings, and improved operational performance across the worldwide shipping system, transforming observations into clear, practical recommendations. • Communicate insights, trade-offs, and recommendations in a compelling way to partners across functions and regions, enabling shared understanding and faster decision-making. • Deliver thought leadership to the Global Shipping Decision Sciences team through sharing guidelines, informal peer mentoring, and promoting a culture centered on experimentation and lifelong learning. What you will bring: • 7+ years of experience in Data Science or Analytics domains. • Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, Business Administration, Business Analytics, or a related area; possessing a master’s degree or equivalent experience is beneficial. • Proficiency in analytics and data science tools such as SQL, R, Python, and visualization tools like Tableau, with experience working directly with large, complex datasets. • Ability to bring to bear AI tools to develop advanced data products and solutions. • Firm understanding of descriptive and inferential statistics, along with the skill to develop simple prototype models to examine hypotheses and support decisions impacting the service or organization. • Experience working as a product or business analyst, or in a similar role, applying insights from data analysis to tackle problems at scale. Familiarity with product analytics and online experimentation (A/B testing) is a plus. • Experience in