Job DescriptionAbout Team and Role NnWe’re building the future of eCommerce product discovery, and we need a data-driven, AI-curious problem solver to join our team. NThis is an exciting, hands-on role at the intersection of data analytics, AI/ML experimentation, and prompt engineering—ideal for an early-career professional who loves writing SQL queries, building Python scripts, and experimenting with LLMs to solve real-world problems. You’ll 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. NIf 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. NnnWhat You’ll Do Nnn Analyse eCommerce Product Data: Run SQL queries and Python scripts to analyze taxonomy, ontology, and catalog data, identifying gaps and opportunities for search improvement. N Experiment withLLMs: Assist in building and testing prompt engineering workflows to automate data enrichment, product classification, and taxonomy validation. N Support Model Evaluation: Help test and evaluate the performance of product knowledge models, semantic search solutions, and embeddings against defined metrics. N Collaborate Cross-Functionally: Work closely with data scientists, product managers,



and engineers to execute data strategies and refine AI-based classification models. N Build Quick Prototypes: Move fast to test data hypotheses, run experiments, and help validate new structured data ideas for better product discovery. Nnn NWhat We’re Looking For Nnn Experience: 2 to 7 years of hands-on experience in a data analytics, product analytics, data science role. N Core Technical Skills: Solid proficiency in SQL and Python for data extraction, manipulation, and analysis. N Eagerness to Learn: Strong interest in eCommerce search, recommendations, or knowledge graphs (prior exposure is a big plus). N AI/LLM Curiosity: Hands-on familiarity or side-project experience with LLMs, prompt engineering, or RAG concepts. N Analytical Mindset: Ability to look at data, spot patterns, and clearly communicate findings to immediate team members. N Growth Mindset: High energy, adaptability, and the ability to thrive and pick up new skills quickly in a fast-paced setting. NnnWhy Join Us? Nnn Kickstart Your AI Career: Get hands-on, real-world experience with AI/ML and LLMs in a high-scale environment. N Learn from the Best: Work directly alongside senior AI, Data Science, and Product teams. N Fast-Track Growth: Build foundational skills rapidly in a supportive, high-velocity, startup-like culture. N Make a Visible Impact: See your data analysis directly improve how millions of users discover products. N

📌 Data Scientist (Karnataka)
🏢 Ebay
📍 Karnataka