eBay Data Scientist Job Openings 2026 – Apply Now!

Qualifications

Looking For

• Experience: 2 to 7 years of hands-on experience in a data analytics, product analytics, 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.

What You’ll Do

• Analyse 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.