2 Years experience in analytics, data science role
Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation
Experience in building and operating Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Model solutions in large production scale environments
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