Tiger Analytics Benefits Overview

Lead design, development, and deployment of end-to-end recommendation systems. Build, tune, and evaluate scalable recommendation algorithms, integrate ML into products, lead projects, mentor teams, and communicate solutions to clients and stakeholders while driving innovation in replenishment and supply chain analytics.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

Design, train, and deploy ML solutions with emphasis on generative AI and NLP (LLMs, RAG). Work with cross-functional teams to analyze text/transcription data, build scalable models, evaluate new algorithms, document results, and present findings to stakeholders to drive business value.