Data Scientist - eBay Live

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 lightweight data engineering when necessary.

• Quality and rigor: Proactive assumption checks, validation, and troubleshooting; ability to scale insights via self‑serve dashboards and reporting that stakeholders actually use.

• Communication and storytelling: Clear narratives that explain the “so what”; adjust depth for technical vs. non‑technical audiences; confident presentation and on‑the‑fly Q&A in cross‑functional forums.

• Stakeholder engagement: Proactive partner management; serve as the primary analytics contact for your area; propose data‑driven opportunities beyond explicit requests; consult managers for guidance in high‑stakes discussions as needed.

• Emerging leadership: Lead analyses coordinating with others; mentor junior analysts on technical skills and domain; demonstrate ownership and reliability in delivery and outcomes.

Qualifications

• BS/MS in a quantitative field (e.g., Statistics, Economics, CS) or equivalent experience; 4-7 years in analytics/data science with demonstrated end‑to‑end delivery on moderate‑to‑complex projects.

• Strong SQL/Python; experimentation design; statistical modeling; dashboarding; familiarity with marketplace dynamics and product analytics.

• Executive‑ready communication with the ability to distill complex analysis to actionable recommendations and influence product decisions.

Additional Details

The base pay range for this position is expected in the range below:

$149,200 - $199,200

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. 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). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guideline.