Data Scientist

Motion Recruitment Partners LLC.

United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Program Optimization Continuous Integration Data Cleansing Software Debugging Python (Programming Language) Machine Learning Performance Tuning Azure Machine Learning SQL Databases Systems Integration Large Language Models

+9 more

Prompt Engineering Generative AI Modularization Information Technology Machine Learning Operations Multiaccess Edge Computing Virtual Agents Data Pipelines Databricks

Job description

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. 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 in DFW Tuesday 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., * 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.

Requirements

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