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.

Job Title

Data Scientist – Ads Analytics (L24 | Assistant Manager)

Role Overview

We are looking for a Data Scientist (Ads Analytics) to support data-driven decision-making for eBay’s advertising and search ecosystem. This role will focus on analyzing and optimizing CPC-based advertising mechanisms through experimentation, deep-dive analysis, and close collaboration with product, engineering, and business teams.

The ideal candidate combines strong analytical rigor, hands-on data skills, and ads domain curiosity, and is excited to work on large-scale marketplace and advertising problems.

Key Responsibilities

• Analyze and evaluate CPC-based advertising and search initiatives, including eligibility, targeting, relevance, and bidding mechanisms

• Design and execute experiments (A/B tests) to measure impact on advertiser performance, buyer experience, and marketplace health

• Perform deep-dive analyses on large-scale datasets to generate actionable insights for product and business teams

• Translate complex analytical findings into clear, concise insights that inform product decisions

• Partner closely with Ads Product, Engineering, and Analytics teams to define metrics, interpret results, and drive iteration

• Support initiatives related to ads serving and platform evolution, including single ads server initiatives

• Ensure analytical outputs consider ecosystem-level tradeoffs across buyers, sellers, advertisers, and eBay revenue

Required Qualifications

• 4-8 years experience in analytics and data science would be ideal

• Strong hands-on analytical skills using SQL, with working knowledge of Python

• Experience using visualization tools such as Tableau to communicate insights

• Ability to analyze large-scale datasets (e.g., Hadoop-based environments) and translate data into meaningful insights

• Solid grounding in descriptive and inferential statistics, with the ability to build basic prototype or exploratory models

• Strong problem-solving skills and ability to connect analytical insights to business and ecosystem impact

• Proactive collaborator with effective written and verbal communication skills

Preferred Qualifications

• Experience and strong understanding of advertising mechanisms and search experience (e.g., CPC, targeting, relevance, bidding)

• Ability to present sophisticated analyses in simple, intuitive terms to non-technical stakeholders

• Prior experience in a leading technology or internet-scale company

• Exposure to e-commerce or marketplace product analytics

• Familiarity with advertising pricing mechanisms (e.g., CPC bidding, auction dynamics)

• Experience working in cross-functional product or platform teams

Additional Details

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 [email protected]. 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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.