Senior Data Scientist | Onsite | AI/ML

Motion Recruitment; Fort Worth (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Motion Recruitment is seeking a Senior Data Scientist to join a highly collaborative AI/ML team supporting Contact Centers and Digital Customer Experience for a major US airline. This onsite role in the DFW area offers cutting-edge machine learning and Generative AI work that directly impacts customer experience and operational performance, with onsite work Tuesday through Thursday.

You will own data preparation, pipeline development, model design, testing, deployment, and monitoring, partnering

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field with 5-7+ years of experience.
• 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.

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.
• Collaborate 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.

Skills

Advanced Python

MLOps

Generative AI

ML pipelines

Education

Advanced degree

Tools

Azure ML

Databricks

SQL

MLflow

CI/CD

Job description

We are seeking aSenior Data Scientistto 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. This role offers the opportunity to work on cutting-edge Machine Learning and Generative AI solutions that directly impact customer experience and operational performance. Applicants must be able to work onsite inDFWTuesday through Thursday

In this role, you will take ownership of data preparation, pipeline development, model design, testing, deployment, and monitoring. You will partner closely with engineers, data scientists, and business stakeholders to develop and productionize scalable AI solutions in a Microsoft-focused environment.

Required Skills & Experience

• Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field with 5-7+ years of experience
• 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 LLMs, Agentic AI, prompt engineering, and customer-facing GenAI applications
• Azure ML, Databricks, SQL, MLflow, and CI/CD pipeline experience
• Experience taking ML models from prototype to production, including containerization and system integration
• Understanding of AI governance, security, privacy, and responsible AI best practices

What You Will Be Doing

• 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
• Collaborate 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.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future