Data Scientist

Tech Stack

Responsibilities

• Work with large datasets, owning efficient querying, cleaning, labeling, and taxonomy alignment for brands, SKUs, and categories.
• Design sampling and classification strategies to turn noisy LLM outputs and crawler logs into reliable brand and product insights.
• Use LLMs and NLP to extract structure from unstructured text at scale for topics like query fan-out, sentiment, citation extraction, and entity linking.
• Define product-grade metrics and create durable definitions for visibility score, answer coverage, product presence, and agentic checkout readiness.
• Build and run experimentation frameworks (A/B tests, holdouts, counterfactuals, uplift modeling) to quantify impact on citations, share of voice, and conversions.

Benefits

• Health Insurance

Culture