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Tier-1 brand, popular Data Scientist title, early-career range, and Bangalore location increase applicant competition.
ML and data skills are transferable across industries, though e-commerce taxonomy knowledge adds domain specificity.
Explicit 2+ years requirement plus mandatory SQL and Python skills increase filtering.
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Analyze eCommerce product data using SQL and Python to improve search, taxonomy, and catalog quality.
Experiment with prompt engineering and LLMs to automate product classification and data enrichment workflows.
Collaborate with AI, Product, and Engineering teams to evaluate and prototype product knowledge and semantic search models.
2+ years of experience in data analytics, product analytics, or junior data science role.
Proficiency in SQL and Python for data extraction, manipulation, and analysis.
Hands-on familiarity or side-project experience with LLMs, prompt engineering, or related AI concepts.
Work Experience Required: 2+ years (explicitly mentioned)
Early-career professional with data analytics experience focused on product discovery or search optimization.
Comfortable working in fast-paced, experimental environments with AI/ML tools and prompt engineering.
Able to work cross-functionally with AI/Data Science and Product teams to execute data strategies and validate models.