Senior data scientist

Req. ID:\n\nJR88782 Senior data scientist\n\nOur vision is to transform how the world uses information to enrich life for all.\n\nMicron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.\n\nResponsibilities include, but not limited to:\n\nWork with an international team of data scientists, data engineers, solution architect, external solution provider, and our stakeholders in construction, facility, planning teams in a collaborative manner to create highly accurate digital twins of our fabs and enable more advanced capabilities, e.g., Photorealistic and physics-based simulation, etc..\n\n * Digital Twin Development\n\n * Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities.\n * Integrate IoT sensor data, MES (Manufacturing Execution System) data, and facility data into the digital twin platform.\n * Predictive Analytics \u0026 Machine Learning\n\n * Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency.\n * Apply statistical and ML techniques to forecast equipment failures, cycle time variations, and yield impacts.\n * Simulation \u0026 Optimization\n\n * Use simulation tools (e.g., NVIDIA Omniverse) to run what-if scenarios for layout changes, capacity planning, and process improvements.\n * Optimize fab workflows for cost, energy, and productivity.\n * Data Integration \u0026 Visualization\n\n * Design dashboards for real-time monitoring of fab KPIs (e.g., OEE, WIP, energy consumption).\n * Collaborate with engineering teams to visualize fab layouts and operational states in 3D environments.\n * Collaboration\n\n * Work closely with process engineers, facility planners, and IT teams to ensure seamless integration of digital twin solutions.\n * Support cross-functional projects involving AI, automation, and Industry 4.0 initiatives.\n\n\n\n### Required Skills\n\n * Strong proficiency in Python, R, SQL, and data engineering.\n * 3+ years of Experience with machine learning frameworks (TensorFlow, PyTorch) and simulation tools.\n * Knowledge of semiconductor manufacturing processes and fab operations.\n * Familiarity with IoT data pipelines, MES systems, and cloud platforms (AWS, Azure).\n * Understanding of 3D modeling and visualization tools (Omniverse, Unity, or similar).\n\n\n\nJob Profile(s):\n\nData Scientist 3\n\nRelocation level: (TBD)\n\nBefore Getting Started \nPlease review Micron\u2019s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that: \n\n * Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.\n * If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.\n\n\n\n\u200b\u200b\u200b\u200b\n\nAs a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc\n\nMicron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.\n