Staff Data Scientist eBay Live

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 eBays 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 trustbacked way to discover and shop. We design with a safetyforward policyaligned approach to protect buyers sellers and the integrity of the Live ecosystem. Join us to build the analytics and AI backbone that powers discovery engagement and quality moderation and risk mitigation across Live. Its a highvisibility priority growth initiative with significant runway - an opportunity to deliver measurable impact at marketplace scale.

Opportunity

As a Staff Data Scientist you will be both a highly skilled analyst and a beginning team leader - owning endtoend analytical projects scoping ambiguous problems selecting the right methods ensuring quality and presenting insights to drive action. You will also set standards for analytical best practices review team outputs and architect solutions (e.g. data pipelines tracking schemas) in partnership with engineering to scale productimpacting analytics for eBay Live. You will also partner closely with Trust Risk and Compliance to define safety guardrails policyaligned metrics and detection systems that reduce harm while preserving great experiences for good actors.

Specifically you will be part of the journey to build the Data Science engine that powers eBay Live hypergrowth across Seller Product & Seller Success Buyer Product Categories/Markets expansion Trust & Safety Data Foundation and Business Performance - delivering measurable outcomes through causal measurement experimentation marketplace and risk modeling and productiongrade insights/dashboards.

What Youll Do

You will focus on one of the following pillars while coaching and raising the bar for analysis quality:

• Buyer Product Analytics: Own endtoend analyses for live commerce features; define product metrics and tracking; lead experiments that inform roadmap and growth; review peers work to uphold rigor.

• Seller Product & Seller Success: Design and govern growth experiments; analyze onboarding listing quality conversion and retention; propose interventions and measurement plans; enforce review standards and reproducibility.

• Categories & Markets Expansion: Model categorymarket dynamics; size opportunities; build selection/expansion frameworks; advise sequencing and launch decisions; architect lightweight data assets (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 protecting good actors.

• Data Foundation & Instrumentation: Clarify metric/event taxonomies; ensure instrumentation quality; build curated datasets and dashboards; troubleshoot data issues; automate recurring tasks with a productfirst mindset.

• Business Performance: Own KPIs within scope; synthesize daily/weekly/monthly/quarterly performance narratives; surface opportunities/risks; influence decisions with evidencebased recommendations.

What You Bring

• Technical leadership and depth: Lead analyses endtoend from scoping 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 best practices; conduct code/analysis reviews; ensure stakeholderready outputs.

• Architecting solutions: Identify and drive data solution needs (new pipelines tracking schemas derived tables) with engineering; design for scale and maintainability.

• Applied AI/ML integration: Spot highimpact opportunities for ML/AI and automation; prototype solutions and partner with specialists to productionize where appropriate.

• Influential communication: Distill complex analyses into crisp narratives; present insights and recommendations to senior stakeholders (directors/VPs) to drive decisions.

• Ownership of domain and stakeholder management: Operate autonomously as the primary analytics partner for your area; prioritize highimpact work; manage crossfunctional project delivery to outcomes.

• Playercoach leadership: Balance handson contributions with mentoring and guidance; set hiring/engagement standards; build a culture of continuous learning and positivity.

• Trust & Safety domain fluency: Experience with marketplace risk modeling anomaly detection abuse/fraud/spam detection content moderation analytics and safety guardrail measurement. Comfortable balancing precision/recall tradeoffs to protect good customers while minimizing false positives.

Qualifications

• Education/experience: MS in a quantitative field (e.g. Statistics Economics CS) or equivalent experience; typically 7 years in analytics/data science with multiple productionquality projects or complex analytical programs.

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

• Communication: Executiveready storytelling that translates analysis into actionable recommendations and influences product decisions.

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

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 RRSP eligibility 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.

Additional Details

This job posting relates to an existing vacancy within eBay.

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 and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.

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