Senior Data Scientist

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 worlds 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 lifecyclefrom 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!

Minimum Requirements:

• Bachelors or Masters 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