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About the Role
Smart Manufacturing and Automation (SMA) at Texas Instruments is seeking a Sr./Lead Data Scientist to revolutionize how facilities operations utilize data. This role combines deep time series expertise with enterprise-scale AI deployment, working directly with operational teams to extract insights from complex data, build production-grade systems, and drive the adoption of Agentic AI solutions globally.
Responsibilities
- 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 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.
- 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 built.
Requirements
- Experienced data scientist energized by ambiguous, high-stakes problems.
- Ability to understand operational problems deeply enough to know when a simpler statistical approach beats a complex neural network.
- Self-directed with the ability to find anomaly patterns others miss, propose forecasting solutions proactively, and take ownership of outcomes from data exploration through production deployment.
- Stay current with emerging technologies, including agentic AI frameworks and large language model tooling, and know how to apply them in a manufacturing environment.
Skills
- Time series expertise
- Enterprise-scale AI deployment
- Anomaly detection
- Forecasting
- Agentic AI
- Machine learning engineering
- Model Context Protocol (MCP)
- Agent-to-agent (A2A) protocols
- Large language model tooling
Location
- Global
Work Type
- Full-time
Experience Level
- Sr./Lead
Benefits
- Competitive pay
- Benefits designed to help you and your family live your best life
- Well-being support
About the Company
- 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 more at TI.com.
Equal Opportunity
- 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.