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.

About 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

worldwide.


We're committed to pushing boundaries and shaping 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 the Role

The

Focus Category team

partners closely with product and business stakeholders to enable data-driven decision-making and drive the success of eBay's category initiatives.


We are a

dynamic, results-oriented team

working on high-impact projects in collaboration with global partners. We are seeking a

high-energy, analytical, and collaborative team member

with strong problem-solving abilities, sound business judgment, and deep analytical expertise.


The ideal candidate will apply advanced analytics and data science techniques to:

Drive innovation, Build scalable data products, and Deliver actionable recommendations through rigorous analysis.

Key Responsibilities

Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions. Drive product decisions using

A/B testing techniques

and experimental design. Lead innovation and continuous improvement within the Focus Category Analytics team. Develop

data products

that enable faster and more accurate decision-making. Leverage

advanced analytics tools and data science models

to solve category-level challenges. Collaborate with cross-functional teams -- including

Business, Product Management, Engineering, and Finance

-- to identify, prioritize, and resolve key business challenges. Serve as a

trusted partner and advisor

to senior leaders, translating complex analytical insights into actionable business recommendations. Create tools, dashboards, and reports to monitor and ensure program success.

Additional Requirements

This role operates in a

hybrid work model

. Flexibility to attend

late evening meetings

(audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings.

What We Expect From You

Bachelor's degree in

Engineering, Computer Science, Economics, Statistics, Mathematics

, or a related quantitative field. + Master's degree or

MBA

preferred.

6+ years

of experience in

data science, analytics, or a related field

. Strong analytical skills with proficiency in: +

SQL

+

Excel

+

Data visualization tools

(e.g., Tableau, Power BI, Looker)
Proficiency in statistical programming languages such as

Python

or

R

. Background in

product analytics

, with hands-on experience in

A/B test design and measurement

preferred. Proven track record of using analytics and data science to: + Drive significant business impact,
+ Build predictive models, and
+ Solve optimization or elasticity problems.
Excellent communication skills with the ability to

translate technical findings into business insights

for non-technical audiences. Experience working in a

fast-paced, cross-functional environment

.

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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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