• Join us to build the analytics and AI backbone that powers discovery, engagement, and quality moderation across Live

As a Senior Manager of Data Science, you will own the analytics strategy and delivery for an entire domain, defining and landing high‑impact, resource‑intensive 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 cross‑org 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 Live’s hyper‑growth - sequencing priorities, managing dependencies and risks, and instituting mechanisms that raise quality and velocity across the domain to deliver measurable outcomes
• You will own one of the following domains - setting strategy, metrics taxonomy, and experimentation standards, leading through others, aligning cross‑functional 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 category–market selection and sequencing; run pilots to de‑risk 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 good‑actor experience through evidence‑based 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 executive‑level decisions with polished, outcome‑focused narratives anchored in shared metrics and experiments
• Cross‑org 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 long‑term outcomes
• Influence at scale: Executive‑ready 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 high‑impact ML/AI applications and adoption of new analytical tools across the domain

• Domain expert & technical strategist: Deep command of the domain; select appropriate methods; ship production‑grade solutions that scale across teams and use cases
• Standards and quality bar: Organization‑level authority on analytical rigor - own and enforce coding/analysis/verification standards; review and sign off on complex experiments/econometrics as the point of escalation
• 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 multi‑team analytics programs and owning domain‑level strategy, standards, and delivery; point‑of‑escalation for complex methodological decisions
• Skills: Advanced experimentation/econometrics/statistical modeling; SQL/Python; dashboarding; architecture‑aware analytics solutioning; stakeholder management across product/engineering/business

Communication: Executive‑ready narratives that translate complex analyses into decisions; proven ability to align Director+ audiences and drive cross‑org adoption of analytics standards

Hands‑on technical depth: Prototype strategic tools, validate methods, and dive into complex analyses when needed; fluent in SQL/Python, advanced experimentation, econometrics/time‑series, causal inference, dashboarding, and data modeling

$188,800 - $252,000

• 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) 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