Senior Manager, Data Science - eBay

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.

eBay Live is eBay’s interactive live shopping platform where sellers and creators broadcast in real time and buyers interact through chat, bidding, and instant purchases. It combines entertainment, community, and commerce into an engaging, trust‑supported way 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 high‑profile, priority growth project with substantial potential—an opportunity to achieve measurable impact at marketplace scale.

As a Senior Manager of Data Science, you will oversee the analytics strategy and delivery across a full domain. You will establish and manage high‑impact, resource‑intensive projects that align colleagues with company goals. You will also craft the vision and standards for analytics within eBay Live.

You will set technical standards across teams. You will ensure methodological rigour. You will lead cross‑org collaboration with product, engineering, business, and peer analytics. Together, you will ship scalable solutions and reusable building blocks.

This role drives the Data Science engine fuelling eBay Live’s rapid expansion. It sequences priorities, handles dependencies and risks, and implements processes that improve quality and speed throughout the domain to achieve measurable results.

You will be accountable for one of the following domains - establishing strategy, metrics taxonomy, and experimentation standards, directing others, bringing together cross‑functional teams, and advancing analytical rigour and outcomes.

• Buyer Product Analytics:
  Lead the domain analytics strategy and roadmap; define a consistent metrics taxonomy and experimentation protocols; guide programs that promote ongoing progress in user acquisition, interaction, 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 regularly.
• Trust & Safety:
  Own risk modelling 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:
  Lead the domain scorecard and governance of important metrics. Run weekly, monthly, and quarterly performance reviews. Drive executive‑level decisions with clear, outcome‑focused narratives based on shared metrics and experiments.

• Demonstrates hands‑on technical depth by prototyping strategic tools and validating methods. Performs sophisticated analyses as needed. Proficient in SQL/Python, advanced experimentation, econometrics/time‑series, causal inference, dashboarding, and data modelling.
• Domain expert & technical strategist:
  Deep command of the domain; select appropriate methods; ship production‑grade solutions that scale across teams and use cases.
• As the…