eBay
Senior Manager eBay Live Data Science
San Jose · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$41,926 more — $212,326 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $212,326 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 96%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
- Opportunity In your role as a Staff Data Scientist, you will combine advanced analysis skills with initial leadership responsibilities.
- Qualifications - Education/experience: MS in a quantitative field (e.g., Statistics, Economics, CS) or equivalent experience.
Responsibilities
- Own end-to-end analyses for live commerce features. Define product metrics and tracking. Lead experiments that inform the roadmap and growth. Review peers' work to uphold rigor.
- Seller Product & Seller Success: Build and govern growth experiments
- Model category-market dynamics and size opportunities. Build selection and expansion frameworks. Advise sequencing and launch decisions. Architect lightweight data assets, such as derived tables, to unblock analyses.
- Analyze marketplace risk signals and collaborate on guardrail building and monitoring. Apply practical ML/AI techniques. Refine test builds and metrics to reduce false positives while protecting good actors.
- build curated datasets and dashboards
- Business Performance: Own important metrics within scope
- Seller Product & Seller Success: Build and govern growth experiments; analyze onboarding, listing quality, conversion, and retention; propose interventions and measurement plans; enforce review standards and reproducibility.
- Data Foundation & Instrumentation: Clarify metric/event taxonomies; ensure instrumentation quality; build curated datasets and dashboards; troubleshoot data issues; automate recurring tasks with a product‑first approach.
- Business Performance: Own important metrics within scope; synthesize daily/weekly/monthly/quarterly performance narratives; surface opportunities/risks; influence decisions with evidence‑based recommendations.
Requirements
- Typically, 7+ years in analytics or data science with multiple production-quality projects or complex analytical programs.
- familiarity with marketplace dynamics and product analytics.
- If you have a need that requires accommodation, please contact us at talent@ebay.com.
- We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process.
- Technical leadership and depth: Lead analyses end‑to‑end, from prioritization to presentation
- select robust methods (advanced experimentation, econometrics, statistical modeling) for complex measurements.
- Review standards and quality bar: Establish and enforce coding, analysis, and verification guidelines
- conduct code/analysis reviews
- ensure recipient‑ready outputs.
- Architecting solutions: Identify and drive data solution needs (new pipelines, tracking schemas, derived tables) with engineering
- build for scale and maintainability.
- Applied AI/ML integration: Spot high‑impact opportunities for ML/AI and automation
- prototype solutions and partner with specialists to productionize where appropriate.
- Influential communication: Distill complex analyses into crisp narratives
Skills
- Executive‑ready storytelling that translates analysis into actionable recommendations and influences product decisions.
- Communication: Executive‑ready storytelling that translates analysis into actionable recommendations and influences product decisions.
- Additional Details
- The base pay range for this position is expected in the range below:
- $170,400 - $227,500
- Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
- Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
- Remote roles are not eligible for U.S. visa sponsorship.
- eBay is an equal opportunity employer.
Compensation
- Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
- $170,400 - $227,500
- 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).
- 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.
Benefits
- Player‑coach leadership: Balance hands‑on contributions with mentoring and guidance; set hiring/engagement standards; build a culture of continuous learning and positivity.
Company info
- At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells.
- 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.
Equal opportunity
- We will make every effort to respond to your request for accommodation as soon as possible.
Visa & Work Authorization
- Remote roles are not eligible for U.S. visa sponsorship.
This listing is sourced directly from eBay's careers page and normalized into a canonical job model.