Senior Data Scientist | Onsite | AI/ML

About the role

We are seeking a Senior Data Scientist to join a highly collaborative AI/ML team supporting Contact Centers and Digital Customer Experience initiatives for one of the largest airlines in the United States. The role offers the opportunity to work on cutting‑edge Machine Learning and Generative AI solutions that directly impact customer experience and operational performance.

Responsibilities

• Design, build, test, deploy, and monitor Machine Learning and Generative AI solutions supporting Contact Center and Digital Customer Experience initiatives.
• Develop scalable data pipelines, ML workflows, and production‑ready MLOps processes.
• Partner closely with engineers, data scientists, and business stakeholders to deliver high‑impact AI solutions.
• Enhance and optimize existing AI systems while driving new innovation through LLMs, GenAI, and advanced analytics.
• Take ownership of data preparation, pipeline development, model design, testing, deployment, and monitoring.

Required Skills & Experience

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field.
• 5–7+ years of professional experience in data science or machine learning.
• Advanced Python expertise, including production‑grade development, modularization, testing, debugging, performance tuning, and code optimization.
• Hands‑on experience developing and productionizing Machine Learning pipelines, including model deployment, orchestration, monitoring, and optimization (MLOps).
• Experience building Generative AI applications and applying statistical and machine learning techniques to solve complex business problems.

Desired Skills & Experience

• Experience with large language models (LLMs), Agentic AI, prompt engineering, and customer‑facing GenAI applications.
• Proficiency with Azure ML, Databricks, SQL, MLflow, and CI/CD pipeline tooling.
• Experience taking ML models from prototype to production, including containerization and system integration.
• Understanding of AI governance, security, privacy, and responsible AI best practices.

Qualifications

• Must be currently authorized to work in the United States on a full‑time basis now and in the future.

Schedule

On‑site work in Dallas/Fort Worth (DFW) required Tuesday through Thursday.