SR DATA SCIENTIST

Req. ID:\n\nJR80959 SR 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\nAs a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.\n\nYou will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities.\n\nKey Responsibilities\n\n * Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification.\n * Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.\n * Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.\n * Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks, applying rigorous outlier detection and missing data handling.\n * Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).\n * Coordinate production deployment activities using MLOps best practices (MLflow, Apache Airflow), including model monitoring, data drift detection, versioning, and automated testing.\n * Contribute to research and innovation through published patents, peer-reviewed papers, or presentations at top-tier conferences (e.g., IJCNN, CVPR, NeurIPS), and demonstrate ability to translate research into practical solutions.\n * Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders.\n\n\n\nRequired Qualifications\n\n * Ph.D. or Master\u2019s degree in Computer Science, Data Science or AI.\n * Minimum 2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.\n\n\n\nOr\n\n * Bachelor\u2019s degree in Computer Science, Data Science or AI.\n * Minimum 3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.\n\n\n\nRequired Technical Experience\n\n * Computer Vision: At least 2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV, YOLO, and RGB-D cameras.\n * Deep Learning \u0026 AI: At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras), including CNNs, LSTM, transformer models, and generative AI.\n * Multimodal Analysis: Proven ability to work with multimodal datasets (text, image, time-series), including sentiment analysis and fusion of multiple data types.\n * Programming \u0026 Data Engineering: Strong Python programming skills; at least 2-years\u2019 working experience with SQL, Java, C++, and cloud platforms (AWS, GCP); familiarity with distributed computing frameworks (Spark, Hadoop).\n * MLOps \u0026 Deployment: Experience with MLflow, Apache Airflow, Docker, and Git for robust model deployment and monitoring in production environments.\n * Visualization \u0026 Communication: At least 2 years of working experience in visualization tools (Dash, Plotly, Spotfire, PowerBI) and technical writing for documentation and training.\n\n\n\nRequired Soft Skills\n\n * In working or research environment consistently demonstrated analytical and problem-solving skills, with a data-driven and research-oriented mindset for at least 2 years.\n * Effective communicator and collaborator, with experience in cross-functional project management and training.\n * Proven ability with at least 1-year working experience to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.\n * proven track record of commitment to quality, continuous improvement, and adaptability in manufacturing settings.\n\n\n\nPreferred Experience\n\n * Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.\n * Hands-on involvement in integrating computer vision or NLP solutions into production systems.\n * Contributions to patents, peer-reviewed publications, or top-tier conferences (IJCNN, CVPR, NeurIPS).\n * Experience with large language models (LLMs), multimodal sentiment analysis, or generative AI.\n * Professional training or teaching experience in data science or AI topics. \n \nDesigns, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse \u201cbig data\u201d sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.\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