DATA SCIENTIST

Req. ID:

JR101618 DATA SCIENTIST

Our vision is to transform how the world uses information to enrich life for all.

Micron 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.

As a Data Scientist at Micron, you will have the outstanding opportunity to apply innovative techniques and theories from fields like mathematics, statistics, semiconductor physics, materials science, and information technology. Your work will reveal patterns in data that create predictive models, actionable insights, and transformative solutions.

You will collaborate with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify critical questions and issues for data analysis projects. Your role will involve developing software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources. This position offers significant opportunities for exploratory and novel solution development activities, encouraging innovation and creativity.

## Key Responsibilities

• Build and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, using RGB-D cameras and vision inspection systems for volume/density measurement and component verification.
• 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, using frameworks like TensorFlow, PyTorch, and Keras.
• Employ advanced AI methods, such as few-shot learning, generative AI, and multimodal fusion (text, image, time-series), to address manufacturing and environmental monitoring challenges.
• 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 methods.
• Guide cross-functional cooperation among engineering, operations, and quality departments, applying experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).
• Coordinate production deployment activities using MLOps guidelines (MLflow, Apache Airflow), including model monitoring, data drift detection, versioning, and automated testing.
• Contribute to research and innovation through published patents, peer-reviewed papers, or presentations at top-tier conferences such as IJCNN, CVPR, and NeurIPS. Show the ability to translate research into practical solutions.
• Communicate technical concepts and project outcomes effectively to both technical and non-technical collaborators.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.​

## Required Qualifications

• Possession of a Master’s degree in Computer Science, Data Science, or AI, or relevant equivalent experience.
• Two or more years of direct experience building and rolling out scalable AI applications in the manufacturing, semiconductor, or electronics industries.

## Or

• Bachelor’s degree or equivalent experience in Computer Science, Data Science, or AI.
• Minimum 3 years of direct experience building and implementing scalable AI applications in manufacturing, semiconductor, or electronics industries.

## Required Technical Experience

• Computer Vision: At least 2 years of experience crafting and implementing computer vision models for industrial uses. This includes object detection, image segmentation, and automated inspection with OpenCV, YOLO, and RGB-D cameras.
• Deep Learning & AI: Minimum of 2 years working with deep learning frameworks (TensorFlow, PyTorch, Keras), encompassing CNNs, LSTM, transformer models, and generative AI.
• Multimodal Analysis: Demonstrated skill in handling multimodal datasets (text, image, time-series), encompassing sentiment analysis and combining various data types.
• Programming & Data Engineering: Proficient in Python programming, with a minimum of 2 years of experience in SQL, Java, C++, and cloud environments (AWS, GCP); knowledge of distributed computing systems (Spark, Hadoop).
• MLOps & Deployment: Familiarity with MLflow, Apache Airflow, Docker, and Git for reliable model deployment and monitoring in live environments.
• Visualization & Communication: A minimum of 2 years working with visualization tools (Dash, Plotly, Spotfire, PowerBI) and producing technical writing for documentation and training.
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

##

## Required Soft Skills

• Demonstrated analytical and problem-solving skills, with a data-driven approach and research perspective for at least 2 years.
• Effective communicator and collaborator, with experience in cross-functional project management and training.
• Proven ability to work independently, prioritize various tasks, and deliver high-quality results in fast-paced, dynamic environments.
• Track record of dedication to quality, continuous improvement, and adaptability in manufacturing settings.

## Preferred Experience

• Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.
• Hands-on involvement in integrating computer vision or NLP solutions into production systems.
• Experience working with large language models (LLMs), multimodal sentiment analysis, or generative AI.
• Professional experience in training or instructing on data science or AI subjects.

Job Profile(s):

Data Scientist 2

Relocation level: (TBD)

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

• 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.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

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As 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

Micron 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.