Data Scientist 1, Knowledge Management
Job Summary
At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 Team and Role
Were building the future of eCommerce product discovery and we need a data-driven AI-curious problem solver to join our team.
This is an exciting hands-on role at the intersection of data analytics AI/ML experimentation and prompt engineeringideal for an early-career professional who loves writing SQL queries building Python scripts and experimenting with LLMs to solve real-world problems. Youll be embedded in the Product Knowledge org helping us clean structure and optimize taxonomy ontology and catalog data for next-gen search and recommendation engines.
If you are eager to learn thrive in fast-moving environments and want to work directly with AI/ML Product and Engineering teams this is the perfect place to accelerate your career.
What Youll Do
Analyze eCommerce Product Data: Run SQL queries and Python scripts to analyze taxonomy ontology and catalog data identifying gaps and opportunities for search improvement.
Experiment with LLMs: Assist in building and testing prompt engineering workflows to automate data enrichment product classification and taxonomy validation.
Support Model Evaluation: Help test and evaluate the performance of product knowledge models semantic search solutions and embeddings against defined metrics.
Collaborate Cross-Functionally: Work closely with data scientists product managers and engineers to execute data strategies and refine AI-based classification models.
Build Quick Prototypes: Move fast to test data hypotheses run experiments and help validate new structured data ideas for better product discovery.
What Were Looking For
Experience: 2 years of hands-on experience in a data analytics product analytics or junior data science role.
Core Technical Skills: Solid proficiency in SQL and Python for data extraction manipulation and analysis.
Eagerness to Learn: Strong interest in eCommerce search recommendations or knowledge graphs (prior exposure is a big plus).
AI/LLM Curiosity: Hands-on familiarity or side-project experience with LLMs prompt engineering or RAG concepts.
Analytical Mindset: Ability to look at data spot patterns and clearly communicate findings to immediate team members.
Growth Mindset: High energy adaptability and the ability to thrive and pick up new skills quickly in a fast-paced environment.
Why Join Us
Kickstart Your AI Career: Get hands-on real-world experience with AI/ML and LLMs in a high-scale environment.
Learn from the Best: Work directly alongside senior AI Data Science and Product teams.
Fast-Track Growth: Build foundational skills rapidly in a supportive high-velocity startup-like culture.
Make a Visible Impact: See your data analysis directly improve how millions of users discover products.
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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Required Experience:
IC
About Company
Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more