Job Description

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: Senior Manager, Data Science & Analytics - Search Product Analytics Lead

Overview

We are seeking a

Senior Manager / Lead Data Scientist

to own the

Search Product Analytics

function at eBay. In this role, you will partner closely with the

Search product and engineering teams

, using eBay's vast data ecosystem to uncover insights, influence the Search roadmap, and drive customer-centric innovation across our marketplace.


You will manage a team of data scientists, champion experimentation excellence, and develop analytics strategy for one of eBay's most critical user experiences -- Search. This role combines

hands-on analytics depth

,

strategic impact

, and

leadership responsibility

.

Key Responsibilities

1. Strategic Analytics Leadership

Serve as the

analytics leader

for eBay's Search product, setting the vision for data-driven decision-making and influencing long-term strategy. Partner with Product, Engineering, and Business collaborators to

define success metrics

, establish analytical frameworks, and guide prioritization. Lead the end-to-end analytics roadmap for Search -- from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation.

2. Experimentation & Measurement

Develop, implement, and interpret

A/B tests and causal inference studies

to evaluate new Search experiences, ranking models, and personalization algorithms. Translate complex analytical outcomes into

clear, actionable insights

for non-technical audiences. Promote standard processes in experimental design, metric definition, and statistical rigor across teams.

3. Team Leadership & Development

Lead, mentor, and grow a high-performing analytics team; develop career paths and champion a culture of curiosity, rigor, and impact. Partner with recruiting and analytics leadership to

attract and retain top analytical talent

. Provide coaching and technical mentorship to ensure consistent analytic quality and scalability across projects.

4. Cross-Functional Collaboration

Act as the

analytics link between

Search, Personalization, Ads, and Buyer Experience teams to ensure well-rounded understanding of user intent and behavior. Drive alignment across product areas, ensuring consistent measurement standards and shared findings. Advocate for data democratization by building intuitive reporting, self-serve tools, and metric documentation.

5. Operational & Execution Excellence

Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis. Enable rapid insight generation through automation and scalable experimentation pipelines. Continuously improve analytical workflows and frameworks for speed and reliability.

Required Skills & Experience

8+ years

of experience in product analytics, data science, or experimentation roles;

2+ years leading analytics teams

. Strong command of

A/B testing design

, causal inference, and experimentation measurement. Deep expertise in

SQL, Python/R

, and data visualization tools (e.g., Tableau). Strong foundation in

statistics

,

machine learning fundamentals

, and

data-driven hypothesis testing

. Proven record of delivering insights that drive

measurable business and product impact

. Able to translate data into actionable narratives and influence senior executives. Known to work in

highly matrixed, cross-functional environments

.

Preferred Qualifications

Advanced degree or equivalent experience in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, etc.). Experience in

Search, Ranking, or Personalization analytics

within e-commerce or digital marketplaces. Familiarity with

big data platforms

,

experimentation frameworks

, and

LLM/AI tools

Experience building or influencing

data and metric infrastructure

for large-scale experimentation systems. Strong presentation and partner management skills, with ability to

influence at VP+ levels

.

What You'll Gain

Opportunity to shape the

future of eBay's Search experience

, a core pillar of buyer engagement. High visibility and ownership over analytics strategy for one of eBay's most data-rich domains. An environment that encourages

innovation, curiosity, and technical excellence

.

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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.



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