Senior Data Scientist, TPG

BS + 5 years, MS + 2 years or PhD + 0 years of data science and / or semiconductor industry experience majoring in Engineering, Mathematics, Computer Science, Data Science, Physics, or equivalent Experience in semiconductor industry preferred. Experience in the memory industry is highly desirable. Expertise developing and deploying data science solutions including data engineering, application of Machine Learning algorithms, UI/UX, and ML Ops. Experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, and evaluation of model performance. Familiarity with agentic AI systems—designing, deploying, or integrating autonomous agents capable of reasoning, planning, and executing tasks across complex workflows. Proficient in program languages such as Python or R. Excellent written and verbal English-language communication and presentation skills. Ability to build strong interpersonal relationships, and a passion to teach others about data science and continue to learn new techniques. Develop and implement AI and ML solutions to support product development, validation, and optimization. Collaborate with functional subject matter experts across engineering teams to understand domain problems and identify data science solutions. Stay up-to-date with the latest advancements in data science and apply them to solve complex problems.