Lead Data Scientist, Smart Manufacturing & Facilities

Texas Instruments Incorporated; Dallas (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Texas Instruments Incorporated is seeking a Sr./Lead Data Scientist for Smart Manufacturing and Automation in Dallas, TX. You will work with facilities operations teams to extract signals from complex time-series sensor and process data, building production-grade anomaly detection and forecasting systems and driving enterprise AI adoption across TI’s global manufacturing footprint.

You will operate in a complex environment, translating domain knowledge into robust models, and deploying

Qualifications

• Deep time series expertise and enterprise-scale AI deployment.
• Experience with anomaly detection and forecasting in industrial data.
• Ability to deploy intelligent systems at scale in manufacturing environments.

Responsibilities

• Analyze and model time series data with stakeholders to extract value.
• Develop production-grade anomaly detection, forecasting, and predictive maintenance models.
• Design end-to-end ML pipelines that scale and improve operational decisions.

Skills

Time series analysis

Anomaly detection

Forecasting models

ML pipeline development

Production-grade deployment

Mentoring/leadership

Tools

Model Context Protocol (MCP)

Agent-to-Agent (A2A) protocols

Large language model tooling

Job description

Texas Instruments Incorporated is seeking a Sr./Lead Data Scientist for Smart Manufacturing and Automation in Dallas, TX. You will work with facilities operations teams to extract signals from complex time-series sensor and process data, building production-grade anomaly detection and forecasting systems and driving enterprise AI adoption across TI’s global manufacturing footprint.

You will operate in a complex environment, translating domain knowledge into robust models, and deploying