Senior Manager eBay Live Data Science
eBay · San Jose, United States · 9d ago
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 platform where sellers and creators broadcast in real time and buyers participate through chat, bidding, and instant purchases. It combines entertainment, community, and commerce into an engaging, trust-supported method to explore and shop. Join us to develop the analytics and AI foundation that drives discovery, engagement, and quality moderation throughout Live. It’s a prominent, priority growth initiative with considerable potential—an opportunity to create tangible impact at marketplace scale.
Opportunity
As a Senior Manager of Data Science, you will lead the analytics strategy and delivery for a whole domain. You will develop and implement high-impact, resource-intensive programs that align partners with company goals. You will also build the vision and standards for analytics within eBay Live.
You will set technical standards across teams and ensure methodological rigor. You will also lead collaboration across product, engineering, business, and peer analytics. This work supports shipping scalable solutions and reusable building blocks.
This role energizes the Data Science engine powering eBay Live’s swift growth. Responsibilities include prioritizing tasks, managing dependencies and risks, and establishing methods that increase quality and speed across the domain to deliver measurable results.
What You’ll Do
You will own one of the following domains: setting strategy, metrics taxonomy, and experimentation standards. You will lead through others, align cross‑functional teams, and improve analytical rigor and outcomes.
Buyer Product Analytics: Manage domain analytics strategy and roadmap; define a unified metrics taxonomy and experimentation criteria; guide programs that promote continuous progress 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.
Lead category and market selection and sequencing. Run pilots to reduce launch risks. Align partners on metrics taxonomy, definitions, and instrumentation. 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 governance of critical metrics. Run weekly, monthly, and quarterly performance reviews. Drive executive-level decisions with clear, outcome-focused narratives based on shared metrics and experiments.
What You Bring
Demonstrates hands-on technical depth by prototyping strategic tools and validating methods. They dive into complex analyses when needed. They are proficient in SQL/Python, advanced experimentation, econometrics/time-series, causal inference, dashboarding, and data modeling.
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: Serve as the organization’s authority on analytical rigor. Own and enforce coding, analysis, and verification standards. Review and approve complex experiments and econometrics as the escalation point.
Cross‑org collaboration: Lead alignment at scale - develop mechanisms for shared definitions, transparent prioritization, and pragmatic handling of blocking issues. Foster a culture where decisions are grounded in experimental evidence and long‑term outcomes.
Influence at scale: Executive‑ready storytelling, whitepapers/strategy docs that build priorities and funding; trusted advisor who embeds analytics in planning and business reviews.
Leadership through leaders: Talent magnet and mentor; delegate and empower; set mechanisms and processes to track program delivery, partner happiness, and quantified business impact.
AI capabilities & innovation: Cultivate a culture of innovation; advocate for impactful ML/AI applications and the integration 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 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; collaborator 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.
Additional Details
The base pay range for this position is expected in the range below:
$203,200 - $271,300Base 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.
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