Data Analyst / Computational Linguist

Omilia develops Voice AI technology for service-industry applications, including a production Drive-Thru Voice AI system used by Quick Serve Restaurants. The Data Analyst / Computational Linguist will analyze production data and system performance, identify conversational error patterns, and implement improvements to NLU models, conversation flows, and LLM behavior.

Responsibilities:

• Data & analytics: write SQL queries, build reports and dashboards, track KPIs, run analyses, and identify optimization opportunities
• Conversation analysis: review real drive-thru dialogs, spot error patterns and propose actionable improvements for accuracy and user experience
• NLU and Conversation Flow: implement and thoroughly test the semantic models and the conversation flow, using both machine learning and rule-based techniques, as well as LLMs

Requirements:

• Degree in Computational Linguistics, Data Science, Computer Science or a related field, or equivalent experience
• At least 1 year of experience in data analysis or NLP
• Experience with SQL and visualization tools for data querying, visualization, and dashboard creation
• Experience working with complex datasets to perform data analysis, extract actionable insights, and drive business decision-making
• Excellent command of spoken and written English
• Excellent communication skills; able to present findings clearly to technical and business audiences
• Accountable within demanding deadlines
• Experience with dialog systems either voice or chat based. Experience in any other production-level NLU/NLP/Agentic solutions will also be considered a plus
• Knowledge of Spanish