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About the job:
Performs statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns. Works with technology organization and business end-users to understand data and analysis needs and develop technical requirements. Partners with development and data management roles to identify and capture data required from internal and external sources. Creates and maintains statistical models for ongoing and ad hoc review and analysis of data. Uses data visualization programs, tools and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns of business importance. The primary focus of this role is on data engineering, data analytics, and data science capabilities to enable smarter operational decisions, process optimization, and manufacturing intelligence.
Candidates with full stack development capabilities will have an added advantage, especially in building scalable digital applications and visualization platforms to support factory operations.
Key Responsibilities
* Design, develop, and maintain scalable data pipelines, databases, and analytics platforms for semiconductor manufacturing operations.
* Analyze large manufacturing datasets to identify trends, improve operational efficiency, and support business decision-making.
* Develop predictive models, dashboards, reporting tools, and automation solutions to enhance factory performance.
* Collaborate closely with process engineers, operations teams, and stakeholders to translate operational challenges into data-driven solutions.
* Support integration between manufacturing systems, databases, MES platforms, and digital applications.
* Participate in digitalization, AI, automation, and smart manufacturing initiatives.
* Ensure data accuracy, reliability, and accessibility across operational systems.
* Work effectively in a high-paced environment with rapidly changing priorities and business needs.
Requirements
* Bachelor’s Degree in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or related fields.
* 0–3 years of working experience.
* Strong knowledge in data engineering, data analytics, or data science.
* Experience with Python, SQL, data visualization tools, and database management.
* Familiarity with machine learning, statistical analysis, or operational analytics is preferred.
* Understanding of semiconductor manufacturing processes and factory operations.
* Strong analytical thinking and problem-solving capabilities.
* Ability to manage multiple priorities in a dynamic and fast-paced environment.
* Good communication and stakeholder engagement skills
* Highly Proactive with learning agility and curiosity in semiconductor digital manufacturing.
Added Advantages
* Full stack development experience (e.g. React, Angular, Node.js, .NET, APIs, cloud platforms).
* Knowledge in Industrial Engineering (IE) methodologies such as productivity improvement, optimization, capacity analysis, or operational efficiency.
* Experience with MES, automation systems, manufacturing intelligence platforms, or AI-driven applications.
* Exposure to cloud technologies, big data platforms, or digital transformation projects.
- 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. Meet the people of TI
- 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.
Skills Required
- Bachelor's Degree in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or related fields
- 0-3 years of working experience
- Strong knowledge in data engineering, data analytics, or data science
- Experience with Python, SQL, data visualization tools, and database management
- Familiarity with machine learning, statistical analysis, or operational analytics
- Understanding of semiconductor manufacturing processes and factory operations
- Strong analytical thinking and problem-solving capabilities
- Ability to manage multiple priorities in a dynamic and fast-paced environment
- Good communication and stakeholder engagement skills
- Highly Proactive with learning agility and curiosity in semiconductor digital manufacturing
Texas Instruments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Texas Instruments and has not been reviewed or approved by Texas Instruments.
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Strong & Reliable Incentives — Profit sharing and annual bonuses are portrayed as a meaningful, formula-linked upside that can materially lift total earnings in strong years. An employee stock purchase plan with a discount further reinforces recurring, wealth-building incentives.
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Retirement Support — A 401(k) match is described as a stable core benefit, with some references to additional legacy employer contributions and even pension-like elements for certain cohorts. This framing positions long-term savings support as a notable part of the overall rewards package.
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Healthcare Strength — Medical coverage is depicted as broadly comprehensive, with preventive care and access to HSA/FSA features cited as value-adds. Company-seeded HSA contributions are repeatedly characterized as an important offset to the plan design for those enrolled.
Texas Instruments Insights
What We Do
Texas Instruments develops semiconductor and computer technology for cellular handsets, digital signal processors and analog semiconductors. Texas Instruments has been making progress possible for decades. We are a global semiconductor company that designs, manufactures, tests and sells analog and embedded processing chips. Our more than 80,000 products help over 100,000 customers efficiently manage power, accurately sense and transmit data and provide the core control or processing in their designs, going into markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. Our passion to create a better world by making electronics more affordable through semiconductors is alive today as each generation of innovation builds upon the last to make our technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress. It’s what we do and have been doing for decades. Learn more https://news.ti.com/index.cfm
