Senior Manager, Data Science 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. Join us to build the analytics and AI backbone that powers discovery engagement and quality moderation across Live. Its a highvisibility priority growth initiative with significant runway - an opportunity to deliver measurable impact at marketplace scale.

Opportunity

As a Senior Manager of Data Science you will own the analytics strategy and delivery for an entire domain defining and landing highimpact resourceintensive programs that align partners to company goals and shape the vision and standards for analytics within eBay Live.

You will set technical standards across teams ensure methodological rigor and lead crossorg collaboration with product engineering business and peer analytics to ship scalable solutions and reusable building blocks.

This role powers the Data Science engine behind eBay Lives hypergrowth - sequencing priorities managing dependencies and risks and instituting mechanisms that raise quality and velocity across the domain to deliver measurable outcomes.

What Youll Do

You will own one of the following domains - setting strategy metrics taxonomy and experimentation standards leading through others aligning crossfunctional teams and raising the bar on analytical rigor and outcomes.

• Buyer Product Analytics: Own domain analytics strategy and roadmap; set unified metrics taxonomy and experimentation standards; lead programs that drive sustained improvements in discovery engagement and conversion.

• Seller Product & Seller Success: Define the growth analytics agenda across acquisition onboarding listing quality conversion and retention; govern causal measurement and experimentation; ship reusable measurement assets and instrumentation that scale.

• Categories & Markets Expansion: Lead categorymarket selection and sequencing; run pilots to derisk launches; align partners on metrics taxonomy definitions and instrumentation and track expansion outcomes with clear cadences.

• Trust & Safety: Own risk modeling and guardrail standards; align business/product/engineering on signals definitions and measurement; balance fraud prevention with goodactor experience through evidencebased decisions.

• Data Foundation & Instrumentation: Set event/metric taxonomies instrumentation quality and coding/verification standards; build semantic layers/templates; align architecture and data products across teams for consistency and speed.

• Business Performance: Own the domain scorecard and KPI governance; run weekly/monthly/quarterly performance reviews; drive executivelevel decisions with polished outcomefocused narratives anchored in shared metrics and experiments.

What You Bring

• Handson technical depth: Prototype strategic tools validate methods and dive into complex analyses when needed; fluent in SQL/Python advanced experimentation econometrics/timeseries causal inference dashboarding and data modeling.

• Domain expert & technical strategist: Deep command of the domain; select appropriate methods; ship productiongrade solutions that scale across teams and use cases.

• Standards and quality bar: Organizationlevel authority on analytical rigor - own and enforce coding/analysis/verification standards; review and sign off on complex experiments/econometrics as the point of escalation.

• Crossorg collaboration: Lead alignment at scale - create mechanisms for shared definitions transparent prioritization and pragmatic escalation. Foster a culture where decisions are grounded in experimental evidence and longterm outcomes.

• Influence at scale: Executiveready storytelling whitepapers/strategy docs that shape priorities and funding; trusted advisor who embeds analytics in planning and business reviews.

• Leadership through leaders: Talent magnet and coach; delegate and empower; set mechanisms and processes to track program delivery partner satisfaction and quantified business impact.

• AI capabilities & innovation: Foster a culture of innovation; champion highimpact ML/AI applications and adoption of new analytical tools across the domain.

Qualifications

• Experience: MS/PhD in a quantitative field (e.g. Statistics Economics CS) or equivalent experience; typically 9 years in analytics/data science. Extensive track record leading multiteam analytics programs and owning domainlevel strategy standards and delivery; pointofescalation for complex methodological decisions.

• Skills: Advanced experimentation/econometrics/statistical modeling; SQL/Python; dashboarding; architectureaware analytics solutioning; stakeholder management across product/engineering/business.

• Communication: Executiveready narratives that translate complex analyses into decisions; proven ability to align Director audiences and drive crossorg adoption of analytics standards.

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 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.

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