Senior Data Scientist: Time Series & AI for Manufacturing

Texas Instruments Incorporated; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Texas Instruments Incorporated is seeking a Sr./Lead Data Scientist within Smart Manufacturing and Automation (SMA) to transform facilities operations through time-series analytics and enterprise-scale AI deployment.

The role involves partnering with engineers and operators to extract signals from sensor data and deploy production-grade anomaly detection and forecasting systems across TI's global manufacturing footprint.

Qualifications

• 5+ years of data science experience, with emphasis on time-series in complex environments.
• Experience deploying production-grade models and ML pipelines.
• Strong collaboration with engineers and domain experts.

Responsibilities

• Analyze and model time-series data from sensors and processes.
• Develop and deploy anomaly detection, forecasting, and predictive maintenance models.
• Design end-to-end ML pipelines to reduce manual analysis and improve decision quality.

Skills

Time Series

Anomaly Detection

Forecasting

ML Pipelines

Agentic AI

MCP Framework

A2A Protocols

ML Engineering

Tools

TensorFlow

PyTorch

ML Ops

Job description

Texas Instruments Incorporated is seeking a Sr./Lead Data Scientist within Smart Manufacturing and Automation (SMA) to transform facilities operations through time-series analytics and enterprise-scale AI deployment.

The role involves partnering with engineers and operators to extract signals from sensor data and deploy production-grade anomaly detection and forecasting systems across TI's global manufacturing footprint.