Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Data Science Intern working on AI-driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Responsibilities
- Develop and apply machine learning models for surrogate modeling of physical and engineering systems
- Support optimization algorithms for recipe and hardware parameter tuning
- Analyze simulation and experimental data to improve model accuracy and performance
- Build Python-based workflows for model training, inference, and evaluation
- Collaborate with engineers and scientists to translate engineering problems into data-driven models
- Document methods and results and present findings to technical stakeholders
Requirements
- Currently pursuing a Bachelor’s degree in: Computer Science, Data Science, Electrical, Mechanical, or Chemical Engineering, Applied Mathematics or a related technical field
- Strong programming skills in Python
- Understanding of machine learning fundamentals
- Coursework or hands-on experience in optimization, numerical methods, or scientific computing
- Ability to work with data, debug models, and learn quickly
Benefits
- Supportive work culture that encourages learning and professional growth
- Programs and support for personal and professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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