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Open nowPosted today

Senior Data Scientist

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Pay
SGD 7,000 – SGD 12,000 a month
Where
North, Singapore
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Your applicationOpen nowSenior Data ScientistMICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. · North, Singapore

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The clock on this job

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13.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted today

The posting

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.

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