Lead Data Scientist, Time Series & AI for Manufacturing

Socket.dev; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Texas Instruments is seeking a Sr./Lead Data Scientist to transform how facilities operations leverage data. You will work at the intersection of deep time series expertise and enterprise-scale AI deployment, collaborating with operations teams to extract signal from sensor and process data, and to deploy robust anomaly detection and forecasting systems at scale.

You will lead initiatives across TI's global manufacturing and facilities organization, mentor teammates, and push for continuous

Qualifications

• Seasoned data scientist capable of mapping domain problems into production-grade models.
• Ability to interact with facilities engineers and operations specialists to define modeling scope.
• Proactive, self-directed in exploring data and applying emerging technologies (agentic AI, LLM tooling).

Responsibilities

• Analyze and model time series data from complex sensor and process signals.
• Develop and deploy anomaly detection, forecasting, and predictive maintenance models.
• Design end-to-end ML pipelines that scale and reduce manual analysis.
• Apply robust ML engineering practices to ensure production-grade systems across distributed environments.

Skills

Time series analytics

Anomaly detection

Forecasting

ML deployment & MLOps

Agentic AI frameworks

Tools

Model Context Protocol (MCP)

A2A protocols

TensorFlow/PyTorch

Job description

Texas Instruments is seeking a Sr./Lead Data Scientist to transform how facilities operations leverage data. You will work at the intersection of deep time series expertise and enterprise-scale AI deployment, collaborating with operations teams to extract signal from sensor and process data, and to deploy robust anomaly detection and forecasting systems at scale.

You will lead initiatives across TI's global manufacturing and facilities organization, mentor teammates, and push for continuous