Data Scientist

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

About This Role

Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data. This role sits at the intersection of deep time series expertise and enterprise-scale AI deployment . You will work directly with operational teams to extract signal from complex sensor, equipment, and process data, build production-grade anomaly detection and forecasting systems, and drive the adoption of Agentic AI solutions across a global organization spanning semiconductor manufacturing, facilities operations, and engineering.

This role is not about building models in isolation. It involves solving problems in complex operational environments, earning the trust of domain experts, and deploying intelligent systems that scale.

About You

You are an experienced data scientist energized by ambiguous, high-stakes problems. You can walk into a room with facilities engineers and operations specialists, ask the right questions, and leave with a clear picture of what needs to be modeled. You do not just build models - you understand the operational problem deeply enough to know when a simpler statistical approach beats a complex neural network.

You are self-directed. You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ownership of outcomes from data exploration through production deployment. You stay current with emerging technologies - including agentic AI frameworks and large language model tooling - not because it is trendy, but because you know how to apply them where they genuinely move the needle in a manufacturing environment.

What You'll Do

Analyze and Model Time Series Data

• Engage directly with operational and engineering stakeholders to understand, map, and extract value from complex time series data - translating domain expertise into reliable, production-grade models
• Develop and deploy anomaly detection, predictive maintenance, and forecasting models against equipment sensor data, facility operations data, and manufacturing process signals
• Design and implement end-to-end ML pipelines that reduce manual analysis effort and increase operational decision quality at scale

Build with Engineering Excellence

• Build scalable, maintainable data science solutions with clean architecture, disciplined testing, and rigorous version control practices
• Design and deploy Agentic AI solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create intelligent, composable data analysis workflows
• Apply strong ML engineering fundamentals to ensure models are robust, extensible, and production-grade across distributed manufacturing environments

Lead and Elevate

• Define and drive technical strategy for time series analytics and enterprise AI deployment - setting standards and identifying platform-level opportunities that compound impact over time
• Lead enterprise-wide Agentic AI initiatives from proof of concept through scaled production deployment across TI's global manufacturing and facilities organization
• Mentor data scientists and engineers, elevating team capability through technical guidance, model reviews, and knowledge sharing
• Proactively identify and self-initiate improvements beyond assigned scope, bringing a continuous improvement mindset to every model and system you build

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours.
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn moreat TI.com

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.