T-Ads Engineer, Data Science

As a T-Ads Engineer, Data Science, you will build and deploy production-grade machine learning models and data pipelines. You will translate business problems into scalable technical solutions, executing across the full ML lifecycle. This role requires implementing statistically sound models, contributing to pipeline design, and ensuring reliable production deployment using engineering best practices.

• Build and deploy production-grade ML models and data pipelines
• Translate business problems into scalable technical solutions
• Implement statistically rigorous solutions and models
• Design, train, tune, and deploy ML/deep learning models
• Implement scalable training and deployment pipelines using PySpark, Snowpark, or similar
• Write production-ready code in Python, SQL, Scala, and enforce engineering standards

• Must be authorized to work without sponsorship.