Data Scientist

Job Title: Data Scientist Company: Micron Technology Job Category: Machine Learning Roles & Responsibilities: Responsibilities And Tasks * Product Quality (PQ) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes. * Agentic AI and LLM Development: + Contribute to the design and implementation of multi\-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization. + Work with retrieval\-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM\-based applications. + Assist in implementing tool\-using capabilities, function calling, and agent memory systems. * Software Engineering and Productionalization: + Develop maintainable code and analytical pipelines suitable for high\-volume manufacturing environments. + Optimize for performance, latency, and token efficiency. + Collaborate with senior team members on testing, deployment, and monitoring. * Strong verbal and written communication skills, with the ability to explain complex analytical results clearly. * 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. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport\sg@micron.com Work Location: Singapore, Singapore Availability: Full time

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. * Communicate analytical insights, model behavior, and results clearly to technical and non\-technical stakeholders * 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. * 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 \& Skills * Education/Experience: + Bachelor's in Computer Science, Data Science, Operations Research, Mathematics, or equivalent. + Strong desire to grow a career as a Data Scientist in advanced, highly automated industrial manufacturing. + Have had coworking experience with cross\-functional teams such as solution architect, data egngineer, machine learning engineer, etc; or equivalent. * Technical Skills: + Proficiency in Python for data analysis and modeling. + Solid foundation in statistics and/or machine learning (supervised/unsupervised learning, model evaluation, feature engineering). + Experience with SQL for data extraction and manipulation. + Experience with version control (Git). + Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar). AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Key Skills: Machine Learning, Python, Feature Engineering Salary: Not disclosed