Senior Manager, Data Science

About the job

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. Role Overview We are seeking a Senior Manager, Data Science (Analytics) to lead analytics for eBay’s Global Buying Hub (GBH) — a high-impact portfolio that functions as a microcosm of eBay, spanning category performance, customer behavior, shipping and logistics, trust and risk, and product experiences. This is a hands-on leadership role. In addition to managing and developing a team of data scientists and analysts, you will personally own and contribute to complex analytical work, particularly in ambiguous, high-impact problem areas. You will set direction, review and elevate the team’s output, and directly drive the most critical analyses and data products. Key Responsibilities Analytics & Data Product Leadership (Hands-on) • Own end-to-end delivery of high-impact analytics and data products, including direct individual contribution on complex or strategic problems • Lead design of analytical frameworks, modeling approaches, and data product architecture • Personally review, debug, and elevate complex analyses and models to ensure rigor and business relevance • Ensure analytics solutions are scalable, production-ready, and aligned with business and product strategy People Management & Team Development • Build, lead, and develop a team of data scientists and analysts across experience levels • Coach team members through technical guidance, code/analysis reviews, and structured feedback • Set a high bar for analytical quality, ownership, and storytelling • Partner with recruiting to hire and onboard top analytics talent Execution, Prioritization & Process • Translate business strategy into a clear, prioritized analytics roadmap, balancing IC work with team delivery • Make tradeoffs between speed, depth, and scalability, and communicate those decisions clearly • Build processes that ensure predictable delivery, high quality, and strong stakeholder trust • Establish review mechanisms (design reviews, analysis readouts, postmortems) to scale quality Advanced Analytics & Technical Oversight • Remain technically deep in Python, SQL, statistics, and ML, with the ability to step in hands-on when required • Guide and contribute to advanced modeling (e.g., churn, propensity, segmentation, forecasting, experimentation) • Partner with data engineering to influence pipeline design and data modeling decisions AI & Analytics Transformation • Drive adoption of AI- and LLM-enabled analytics to improve insight generation and team productivity • Experiment hands-on with AI-powered workflows and agentic systems where appropriate • Lead the team in operationalizing AI-driven analytics capabilities responsibly Strategic Insights & Executive Communication • Synthesize insights across analyses (both yours and the team’s) into clear, executive-ready narratives • Act as a trusted analytics advisor to senior product and business leaders • Represent analytics perspectives in leadership forums and planning discussions Cross-functional & Global Collaboration • Work closely with product, engineering, and business partners across US and EU markets • Influence product roadmaps, success metrics, and measurement strategies through data • Ensure strong alignment between analytics priorities and broader organizational goals Required Qualifications • 11–15 years of experience delivering analytics and data science solutions at scale • 3–6+ years of experience managing and developing analytics or data science teams • Strong hands-on expertise in Python and SQL; able and willing to contribute directly when needed • Deep experience with statistical modeling, machine learning, and experimentation • Proven track record of personally owning complex analytics problems while scaling delivery through teams • Experience working with large, complex datasets and modern data platforms • Ability to structure ambiguous problems and drive them to execution • Exceptional communication and storytelling skills, including executive-level influence • Strong prioritization and execution skills in fast-paced environments Preferred Qualifications • Experience with AI/LLM-powered analytics or automation solutions, including hands-on experimentation • Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt) • Experience in e-commerce, marketplace, or retail analytics • Exposure to data product management or platform analytics teams • Experience operating in global, cross-region organizations What You’ll Get • A hands-on leadership role with meaningful IC ownership and strategic influence • Opportunity to scale analytics impact across millions of sellers and buyers • Ownership of high-visibility problem spaces at the intersection of data, product, and business • A collaborative, data-driven culture focused on impact, rigor, and innovation • A key role in eBay’s evolution toward AI-powered analytics at scale Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

Requirements

• Python
• SQL
• Statistics
• Machine Learning

Qualifications

• Bachelor’s degree
• Master's degree

Preferred Technologies

• Python
• SQL
• Statistics
• Machine Learning

About the company

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.