Data Scientist

Job Title

Data Scientist

Role Summary

The Data Scientist will develop predictive models, computer vision and multimodal AI solutions to support manufacturing, inspection, and environmental monitoring in a semiconductor fab. The role works with Data Scientists, AI Engineers, and business-area engineers to turn data into actionable solutions and deploy models to production.

Experience Level

Entry-level / Early career - typically 1–2 years of practical experience building and deploying AI solutions in manufacturing, semiconductor, or electronics contexts.

Responsibilities

Deliver end-to-end AI solutions: data preparation, model development, production deployment, and cross-functional collaboration.

• Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection (including volume/density measurement and defect monitoring).
• Develop and deploy deep learning models (CNNs, LSTM, transformer architectures) for image classification, time-series anomaly detection, and multimodal tasks using TensorFlow, PyTorch, or Keras.
• Apply advanced AI techniques such as few-shot learning, generative AI, and multimodal fusion (text, image, time-series) for manufacturing and monitoring challenges.
• Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (GCP), and image sources; perform outlier detection and missing-data handling.
• Coordinate production deployments using MLOps practices: model monitoring, data-drift detection, versioning, and automated testing.
• Lead cross-functional collaboration with engineering, operations, and quality teams; produce technical documentation and train/mentor engineers.
• Communicate technical concepts and project outcomes to both technical and non-technical stakeholders.

Requirements

Must-have technical skills and proven experience for immediate contribution.

• Minimum 1–2 years developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.
• Computer vision experience (industrial applications) including object detection, image segmentation, automated inspection; familiarity with OpenCV.
• At least 1 year experience with deep learning frameworks (TensorFlow or PyTorch), including CNNs and generative AI techniques.
• Experience working with multimodal datasets (image with text or time-series) and related fusion or analysis methods.
• Strong Python programming skills and at least 1 year of SQL experience; familiarity with distributed computing frameworks such as Spark or Hadoop.
• Experience or familiarity with cloud platforms (GCP) and image-data pipelines.
• Demonstrated analytical problem-solving, ability to work independently, manage priorities, and collaborate across teams; experience in project management and technical writing.

Education Requirements

Bachelor's degree in Computer Science, Data Science, or Artificial Intelligence.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.