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Tier-1 brand, mid-level generalist Data Scientist role in Bangalore with LLM/analytics focus creates high competition.
Role requires specialized product/catalog and LLM experience, making cross-industry transfer moderately sensitive.
Explicit 4+ years plus required SQL/Python and ML/LLM skills make shortlisting strict.
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Lead deep data analysis and optimization of eCommerce product taxonomy, ontology, and structured data for improving search and discovery.
Develop and apply prompt engineering and LLM-driven analytical solutions for taxonomy validation, enrichment, and classification.
Design and implement evaluation frameworks to measure and improve AI/ML models driving product knowledge, embeddings, and semantic search.
4+ years of experience in analytics or data science.
Proficiency in SQL and Python for data wrangling, analysis, and automation.
Experience with eCommerce product search, recommendation systems, or knowledge graph applications.
AI/LLM experience including prompt engineering and retrieval-augmented generation (preferred but not strictly required).
Comfortable working in fast-paced, startup-like environments with high agency and cross-functional collaboration.
Experienced in integrating AI/ML model evaluation with product and engineering teams.
Skilled at translating complex data findings into actionable insights for product and AI strategy.