Job Description

About Team and Role

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We’re building the future of eCommerce product discovery, and we need a data-driven, AI-curious problem solver to join our team.

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This 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.

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If you are eager to learn, thrive in rapid-moving environments, and want to work directly with AI/ML, Product, and Engineering teams, this is the perfect place to accelerate your career.

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What You’ll Do

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- Analyse eCommerce Product Data: Run SQL queries and Python scripts to analyze taxonomy, ontology, and catalog data, identifying gaps and opportunities for search improvement.
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- Experiment with LLMs:



Assist in building and testing prompt engineering workflows to automate data enrichment, product classification, and taxonomy validation.
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- Support Model Evaluation: Help test and evaluate the performance of product knowledge models, semantic search solutions, and embeddings against defined metrics.
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- Collaborate Cross-Functionally: Work closely with data scientists, product managers, and engineers to execute data strategies and refine AI-based classification models.
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- Build Quick Prototypes: Move fast to test data hypotheses, run experiments, and help validate new structured data ideas for better product discovery.
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What We’re Looking For

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- Experience: 2 to 7 years of hands-on experience in a data analytics, product analytics, data science role.
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- Core Technical Skills: Solid proficiency in SQL and Python for data extraction, manipulation, and analysis.
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- Eagerness to Learn: Stron

📌 Data Scientist (Bengaluru)
🏢 Ebay
📍 Bengaluru