At e Bay, 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.

Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join e Bay – a company you can be proud to be with.

Our Shipping team is at the heart of the e-commerce experience, influencing key buying/selling decisions by surfacing the best shipping options and ensuring a seamless post-purchase delivery journey for millions of buyers and sellers. Shipping is a critical component of trust and satisfaction on our platform. Our team develops and deploys sophisticated machine learning models to solve complex logistics challenges, such as predicting accurate delivery dates, optimizing shipping costs and options, and modeling complex carrier networks. We operate at a massive scale, leveraging advanced MLOps to deliver these critical services in a high-volume, low latency global e-commerce environment.

As a Senior Data Scientist, you will take a hands-on role building our cutting-edge shipping intelligence platform. Using the latest ML, deep learning, and AI techniques, you will research and deploy sophisticated models to solve tangible problems like optimizing logistics. You will partner with product managers, engineers, and researchers to get these data-driven solutions into production at e Bay's global scale, directly enabling a delightful and efficient shipping experience for millions of users.

What We’re Looking For

• 2 Years experience in analytics, data science role
• Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation
• Experience in building and operating Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Model solutions in large production scale environments
• Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams
• AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
• Model Evaluation Know-How – Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models
• Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration

Additional Details

e Bay 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 e Bay's commitment to ensuring digital accessibility for people with disabilities.

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