全职 Senior Data Scientist 工作, 薪水 up to SGD 7,000, MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. North Region (Singapore) 公司招聘中 - Ricebowl

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.
• 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 degree in Computer Science, Data Science, Mathematics, Operations Research, Engineering, or a related quantitative/technical discipline.
• Experience developing data science, machine learning, or AI solutions for complex, data-intensive business problems.
• Experience with end-to-end machine learning development, including data preparation, feature engineering, model development, evaluation, optimization, and production integration.
• Experience working with multidisciplinary teams or integrating machine learning solutions into broader data, decision, or production systems.

Technical Skills

• Strong proficiency in Python for data analysis, machine learning, and model development.
• Strong foundation in machine learning, including supervised learning, feature engineering, model evaluation, representation learning, and model optimization.
• Experience using SQL and working with large-scale structured datasets.
• Experience developing scalable data and feature-engineering pipelines for machine learning applications.
• Experience deploying or integrating machine learning models into production systems and automated decision workflows.
• Familiarity with modern AI/ML techniques such as gradient boosting, graph neural networks, representation learning, Generative AI, RAG, or LLM-based systems
• 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.​

Preferred Qualifications

• Exposure to LLMs, agentic AI, or RAG-based solutions, through work experience, internships, academic work, or personal projects.
• Experience working with time-series, manufacturing/process data, imbalanced datasets, or concept drift.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Exposure to ETL/data pipelines, Docker, APIs, or web application frameworks.
• Coursework, research, or projects involving optimization, mathematical programming, or advanced statistical modeling.