FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Analyst – Computational Linguist
Omilia - Conversational Intelligence. Improve Omilia's Drive-Thru Voice AI, a production system taking orders across thousands of Quick Serve Restaurants .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and natural language understanding (NLU) to enhance voice AI systems, with a strong focus on SQL querying, performance tracking, and actionable insights generation. Proficient in implementing and testing semantic models and conversation flows to optimize user experience in production environments.
Highest-signal resume keywords
Data AnalysisNatural Language Processing (NLP)SQL QueryingPerformance TrackingVisualization Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisNatural Language Processing (NLP)SQLMachine LearningRule-Based TechniquesSemantic ModelsConversation FlowsKPI TrackingDashboard CreationOptimization Techniques
Soft Skills
Excellent Communication SkillsAccountabilityPresentation Skills
Tools & Technologies
Visualization ToolsDashboard Software
Industry Keywords
Drive-Thru Voice AIQuick Serve RestaurantsProduction DataDialog SystemsAgentic Solutions
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Improve Omilia's Drive-Thru Voice AI, a production system taking orders across thousands of Quick Serve Restaurants
- Track system performance
- Perform analyses on production data
- Turn insights into fixes and enhancements to NLU models, conversation flows, and LLM behavior
- Write SQL queries
- Build reports and dashboards
- Track KPIs
- Run analyses and identify optimization opportunities
- Review real drive-thru dialogs
- Identify error patterns and propose actionable improvements for accuracy and user experience
- Implement and thoroughly test semantic models and conversation flows using machine learning, rule-based techniques, and LLMs
Requirements
What you’ll need- 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 is a plus
- Experience in production-level NLU/NLP/Agentic solutions is a plus
- Knowledge of Spanish is a plus
Benefits
Comp & perks- Competitive compensation
- Long-term employment with the working days vacation
- Development in professional growth (courses, training, etc)
- Being part of successful cutting-edge technology products that are making a global impact in the service industry
- Proficient and fun-to-work-with colleagues
- Apple gear
- Equal opportunity and diverse, inclusive workplace