About the Opportunity
Are you a data scientist who thinks in algorithms, mathematical proofs, and insights? Texas Instruments is looking for a Senior Data Scientist to join a first-of-its-kind team where advanced analytics, mathematical rigor, and machine learning meet semiconductor innovation. This is a rare opportunity to be part of a small, high-impact group that is actively shaping how data-driven decisions are made at one of the world's leading semiconductor companies.
What You Will Work On
As a Senior Data Scientist, you will develop and deploy machine learning models and analytical solutions that accelerate semiconductor development and help bring new TI products to life. You will define, design, implement, and document data science solutions across the semiconductor development flow, including design automation, process technology optimization, device modeling, design verification, manufacturing yield enhancement, test data analytics, and reliability prediction.
Beyond traditional data science, you will apply cutting-edge AI/ML techniques combined with strong mathematical foundations to solve complex challenges across the semiconductor development lifecycle—from circuit design and layout optimization to process control and parametric testing. You will leverage optimization theory, linear algebra, probability theory, and statistical inference to create robust, physics-informed models that enhance design efficiency, reduce development cycles, improve yield, and ensure product quality. You will own and drive the adoption of data science tools and methodologies across design, process development, test, and manufacturing teams, and you will have the creative freedom to develop novel ideas that can be patented and published. You will also gain deep exposure to Semiconductor Physics, IC Design, Process Technology, and Manufacturing Operations through formal learning, projects, and on-the-job experiences that will broaden your knowledge and accelerate your growth at TI.
Bring your data science expertise, mathematical prowess, and passion for semiconductor technology to this role and make an impact across the company!
QualificationsMinimum Requirements:
- Bachelor’s or Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field
- 3+ years of professional experience in data science or machine learning roles
- Cumulative 3.0/4.0 GPA or higher (for recent graduates)
- Strong foundation in mathematical concepts including calculus, linear algebra, probability theory, and optimization
Preferred Qualifications:
- Strong mathematical skills in linear algebra, multivariate calculus, optimization theory, probability, and statistical inference
- Proven experience developing and deploying ML models in production or engineering environments
- Advanced proficiency in Python and packages such as Pandas, NumPy, SciPy, PyTorch, TensorFlow, scikit-learn, and Matplotlib
- Deep knowledge of ML concepts including Neural Networks, Deep Learning, Regression, Clustering, and their mathematical foundations
- Ability to derive algorithms from first principles and apply mathematical modeling to physical systems
- Experience with big data technologies (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and SQL/NoSQL databases is a plus
- Familiarity with semiconductor EDA tools (Cadence, Synopsys) or design of experiments (DOE) techniques is a plus
- Strong communication skills with ability to present complex findings to cross-functional engineering teams
- Demonstrated problem-solving skills with strong mathematical reasoning
- Ability to work collaboratively across time zones and mentor junior team members
- Publication record in top-tier conferences or journals is a plus
- The future starts here. As a TIer, you'll play a critical role in defining the next era of semiconductor technology and help create the innovations that shape the world around us.
- Surround yourself with a team of innovators who value your unique perspective and will challenge you to bring your best self to work every day. We believe that fostering a culture of collaboration fuels both personal growth and technological breakthroughs. Explore our company culture.
- At TI, your success goes beyond your work. Take advantage of comprehensive benefits designed to support your total well-being at work and in life, from competitive compensation to extensive health coverage and wellness programs. Learn more about our benefits offerings.
Skills Required
- Bachelor's, master's, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field
- At least 3 years of professional experience in data science or machine learning roles
- Cumulative GPA of 3.0 out of 4.0 or higher for recent graduates
- Strong foundation in calculus, linear algebra, probability theory, and optimization
- Experience developing and deploying machine learning models in production or engineering environments
- Advanced proficiency with Python and data science or machine learning packages
- Knowledge of neural networks, deep learning, regression, clustering, and their mathematical foundations
- Ability to derive algorithms from first principles and apply mathematical modeling to physical systems
- Experience with Spark, Hadoop, cloud platforms, and SQL or NoSQL databases
- Familiarity with Cadence, Synopsys, or design of experiments techniques
- Strong communication and cross-functional collaboration skills
- Demonstrated problem-solving skills and strong mathematical reasoning
- Ability to mentor junior team members and collaborate across time zones
- Publication record in top-tier conferences or journals
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
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