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Tier-1 brand, popular Data Scientist title, and mid-level (2+ years) profile increase applicant competition.
Role's eCommerce product-knowledge, taxonomy, and knowledge-graph focus makes cross-industry fit moderately sensitive.
Explicit 2+ years requirement plus mandatory SQL/Python and LLM familiarity makes shortlisting moderately strict.
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Analyze and optimize eCommerce product taxonomy, ontology, and catalog data using SQL and Python to improve search and recommendation.
Experiment with large language models (LLMs) through prompt engineering to automate data enrichment and classification.
Support evaluation of product knowledge models and collaborate cross-functionally with AI/ML, product, and engineering teams to enhance product discovery.
Minimum 2 years of experience in data analytics, product analytics, or junior data science role.
Proficiency in SQL and Python for data manipulation and analysis.
Hands-on familiarity or side-project experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG) concepts.
Work Experience Required: 2+ years as specified in the JD.
Early-career data professional comfortable in fast-paced, experimental environments working closely with AI/ML teams.
Interest or prior exposure in eCommerce search, recommendations, or knowledge graphs to understand domain-specific data challenges.
Ability to quickly prototype and test hypotheses using data to improve structured data and product discovery processes.