One Thing
Semiconductor
DATASCIENTIST
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DATA SCIENTIST at One Thing. Skills: Computer Vision, Deep Learning, AI, MLOps. Build computer vision systems. Implement computer vision systems”
Industry & Context.
Problem-solving; Data-driven approach; Research perspective; Analytical skills
What They're Looking For.
Must Have
Master's degree in Computer Science, Data Science, or AI, 2+ years AI application experience, 2+ years computer vision experience, 2+ years deep learning framework experience, 2+ years multimodal dataset experience, 2+ years Python programming experience, 2+ years SQL experience, 2+ years Java experience, 2+ years C++ experience, 2+ years cloud environment experience, 2+ years visualization tool experience, 2+ years technical writing experience, Baseline digital fluency, Role-appropriate AI literacy, Analytical and problem-solving skills, Data-driven approach, Research perspective, Effective communicator, Collaborator, Cross-functional project management experience, Training experience, Ability to work independently, Prioritize tasks, Deliver high-quality results, Adaptability in manufacturing settings
Nice to Have
Semiconductor industry experience, Electronics manufacturing experience, Integrate computer vision into production, Integrate NLP into production, Experience with large language models, Multimodal sentiment analysis experience, Generative AI experience, Experience training data science subjects, Experience training AI subjects
What You'll Do.
Build computer vision systems
Implement computer vision systems
Develop deep learning models
Deploy deep learning models
Employ advanced AI methods
Extract large-scale datasets
Cleanse large-scale datasets
Analyze large-scale datasets
Apply outlier detection methods
Apply missing data handling methods
Guide cross-functional cooperation
Coordinate production deployment activities
Contribute to research
Contribute to innovation
Translate research into practical solutions
Communicate technical concepts
Communicate project outcomes
Integrate AI-assisted tools
Integrate AI insights
Improve effectiveness
Exercise sound judgment
Comply with organizational standards
Comply with legal requirements
Contribute to continuous improvement
Identify AI-enabled enhancements
Test AI-enabled enhancements
Share AI-enabled enhancements
How You'll Work.
Team & Collaboration
Cross-functional cooperation; Collaborate with engineers; Collaborate with business areas; Collaborate with UX teams; Collaborate with engineering; Collaborate with operations; Collaborate with quality departments; Collaborate with technical collaborators; Collaborate with non-technical collaborators
Communication Scope
Communicate technical concepts; Communicate project outcomes; Technical writing
Process & Methodology
Project management
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. 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 manufa
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