One Thing

Semiconductor

DATASCIENTIST

S$85–130k ~AI est. Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“DATA SCIENTIST at One Thing. Skills: Computer Vision, Deep Learning, AI, MLOps. Build computer vision systems. Implement computer vision systems”

Industry & Context.

Semiconductor
Problems you'll solve

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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