What You ll Do

Analyze Optimize eCommerce Product Data Run deep SQL Python analyses to find opportunities in taxonomy, ontology, and structured data for search discovery improvements.

Leverage LLMs for Analytical Solutions Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

Evaluate Improve AI/ML Models Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

Drive Insights Strategy Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

Integrate with AI/ML Teams Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

Prototype and Experiment Move quick, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

What We re Looking For

- 4+ Years experience in analytics, data science role




- Strong Data Analytics Skills Proficiency in SQL Python for data wrangling, analytics, and automation.
- Product Analytics Attitude Familiarity with eCommerce search, recommendations, and knowledge graph applications
- Strong Communication Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
- AI/LLM Experience Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
- Model Evaluation Know-How Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
- Startup DNA High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist, Knowledge Management (Bengaluru)
🏢 The Networker
📍 Bengaluru