Manager, Data Science

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 The Team And Role
We are responsible for setting the future direction of eBay: our ambition, where we play, and how we win in the market. Our team is responsible for deeply understanding the needs of our core buyers and creating the strategies that will differentiate eBay relative to our competitors. We work very closely with product, technology, and regional business teams to ensure the strategy is translated into action across the end-to-end customer experience.
The Buyer Discovery & Consideration team in eBay plays a crucial role in influencing a potential customer's purchasing decision, serving as a dedicated space to showcase detailed information about a specific product, and providing personalization and inspiration driven recommendations. We are seeking a skilled Data Scientist / Data Analyst with specialized experience in this domain with strong e-commerce experience.
What You Will Accomplish
As a Data Science Analyst, you will have the outstanding opportunity to influence decision making of the Buyer Discovery & Consideration product team’s roadmap with comprehensive insights and thought leadership. You will possess a deep understanding of user engagement on the key aspects of their journey through discovery and consideration. The successful applicant will bring expertise in customer behavior understanding, personalization opportunities leveraging advanced machine learning skills and keen insights into buyer growth.
Your successful contributions will be pivotal in enhancing the overall buyer experience throughout the buyer lifecycle stages. We are looking for a candidate who is not only technically proficient but also strategically minded, capable of navigating and optimizing our sophisticated online shopping ecosystem.
What You Will Bring
7+ years of experience in analytics/data science
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc.
Strong analytical foresight with thought leadership and critical thinking.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities, preferably in leading technology companies.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms.
Strong background in ecommerce product experience.
Strong quantitative background with a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred.
Good experience with both descriptive and inferential statistics – ability to build basic prototype models.
Experience with experimentation (A/B testing)
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 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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Work arrangement
Hybrid