Supply Chain Data Science Intern at KLA in Ann Arbor, MI

Summary: KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a Summer Intern in Machine Learning to support the Service Supply Chain team by building predictive models and analyzing demand for spare parts using advanced analytics and machine learning techniques. Responsibilities: - Build a graph representation of KLA’s spare parts demand network to enable predictive modeling and other advanced analytics - Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand - Explore and apply graph-based approaches for network representation and prediction - Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal - Collaborate with the supply chain and planning teams to integrate findings into actionable strategies - Utilize Linux command line tools and scripting for data processing and workflow automation Required Qualifications: - Enrollment in a graduate program (Master's or Ph.D.) in a relevant field - Demonstrated experience in developing and applying machine learning models - Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control) - Ability to learn new tools and technologies quickly - Collaborative mindset and willingness to work in a team environment - Strong proficiency in Python programming - Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras) - Comfort with Linux command line and basic scripting - Solid understanding of probability, statistics, and data analysis and visualization - Ability to communicate technical concepts clearly to both technical and non-technical audiences Preferred Qualifications: - Familiarity with graph theory and its applications in machine learning is a plus Required Skills: Python, Machine Learning, PyTorch Important Skills: Linux Command Line, Data Analysis Nice-to-Have Skills: Graph Theory, Data Wrangling, Collaboration, Communication Skills Benefits: Medical, Dental, Vision, Life, Other voluntary benefits, 401(K) including company matching, Employee stock purchase program (ESPP), Student debt assistance, Tuition reimbursement program, Development and career growth opportunities and programs, Financial planning benefits, Wellness benefits including an employee assistance program (EAP), Paid time off, Paid company holidays, Family care and bonding leave