Data Scientist 1 , Knowledge Management
On-siteBengaluru, Karnataka, India
Job Summary
Analyze eCommerce product data by running SQL queries and Python scripts to identify gaps in taxonomy, ontology, and catalog information for search improvement. Experiment with LLMs to build and test prompt engineering workflows that automate data enrichment, product classification, and taxonomy validation. Support model evaluation by testing semantic search solutions and embeddings against defined metrics while collaborating cross-functionally with data scientists and engineers to refine AI-based classification models. Build quick prototypes to test data hypotheses and validate new structured data ideas for next-gen product discovery.
Required Qualifications
- 2+ years of hands-on experience in a data analytics, product analytics, or junior data science role
- Solid proficiency in SQL
- Solid proficiency in Python
Desired Qualifications
- Strong interest in eCommerce search, recommendations, or knowledge graphs (prior exposure is a big plus)
- Hands-on familiarity or side-project experience with LLMs, prompt engineering, or RAG concepts
- Ability to look at data, spot patterns, and clearly communicate findings to immediate team members
- High energy, adaptability, and the ability to thrive and pick up new skills quickly in a fast-paced environment
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