Data Scientist/Senior Data Scientist

Micron Technology, Inc.; Região Norte; On-site; BRL 180,000 - 300,000; Full time

Job summary

Micron Technology, Inc. is seeking a Data Scientist to leverage mathematics, statistics, physics and IT to uncover patterns and build predictive models for data from diverse sources.

You will collaborate with AI engineers and business teams to identify questions and drive data analysis projects and tool improvements. The role involves developing software, algorithms and automated processes to cleanse, integrate and evaluate large datasets, with opportunities for exploratory and novel solutions

Qualifications

• Bachelor's degree in Computer Science, Data Science or AI.
• 1–2 years hands-on experience deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.
• 1–2 years of Computer Vision with industrial applications including object detection, image segmentation and automated inspection using OpenCV.
• 1 year of working with deep learning frameworks (TensorFlow or PyTorch), including CNNs and generative AI.
• Proven ability with multimodal datasets (image with text or time-series) including sentiment analysis or data fusion.
• Strong Python programming; at least 1 year SQL; familiarity with Spark or Hadoop.

Responsibilities

• Design and implement computer vision systems for object detection, image segmentation, anomaly detection and automated inspection.
• Develop and deploy deep learning models (CNNs, LSTM, transformer-based) for image classification, time-series anomaly detection, and multimodal sentiment analysis.
• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion to manufacturing and environmental monitoring challenges.
• Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud (GCP), and image data, with outlier detection and missing data handling.
• Lead cross-functional collaboration with engineering, operations, and quality teams; project management and mentoring engineers in AI applications.
• Coordinate production deployment activities using MLOps best practices including model monitoring, data drift detection, versioning, and automated testing.
• Communicate technical concepts and project outcomes effectively to technical and non-technical stakeholders.

Skills

Computer Vision

Deep Learning & AI

Multimodal Analysis

Programming & Data Engineering

Education

Bachelor’s degree in Computer Science, Data Science or AI

Tools

OpenCV

TensorFlow

PyTorch

Keras

SQL

Spark

Hadoop

GCP

Job description

As 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.

You will interact with experienced Data Scientists, AI Engineers and Business Areas Engineers 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.

Key Responsibilities

• Design and implement computer vision systemsfor object detection, image segmentation, anomaly detection, and automated inspection, including experience with vision inspection systems for volume/density measurement and defect monitoring.

• 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.

• Apply advanced AI techniquesincluding few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.

• Extract, cleanse, and analyze large-scale datasetsfrom SQL databases, cloud platform (GCP), and image data, applying rigorous outlier detection and missing data handling.

• Lead cross-functional collaborationwith engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in AI applications.

• Coordinate production deployment activitiesusing MLOps best practices including model monitoring, data drift detection, versioning, and automated testing.

• Communicate technical concepts and project outcomeseffectively to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science or AI.

• Minimum 1-2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Required Technical Experience

• Computer Vision:At least 1-2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV.
• Deep Learning & AI:At least 1 year of working experience with deep learning frameworks (TensorFlow or PyTorch), including CNNs and generative AI.
• Multimodal Analysis:Proven ability to work with multimodal datasets (image with text or time-series), including sentiment analysis or fusion of multiple data types.
• Programming & Data Engineering:Strong Python programming skills; at least 1 year working experience with SQL; familiarity with distributed computing frameworks (Spark or Hadoop).

Required Soft Skills

• 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.

• Effective communicator and collaborator, with experience in cross-functional project management and training.

• 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.

• Proven track record of commitment 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 with large language models (LLMs), multimodal sentiment analysis, or generative AI.