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Data Scientist

Fab 10A, Singapore

Pay
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Unconfirmed
Employment
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What you’ll bring

All qualifications

Core experience

  • Proficiency in Python for data analysis and modeling.
  • 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).
  • 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.​
Qualification wording
Proficiency in Python for data analysis and modeling.
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).
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.​

Tools in this posting

  • Python
  • SQL
  • Power BI
  • Streamlit
Source — Tool mentions in context
- 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).
- 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).
- Experience with version control (Git). - Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar). - Strong verbal and written communication skills, with the ability to explain complex analytical results clearly.

Job description

View original posting ↗

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.

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 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).

  • 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.​

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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.   

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on micron.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Fab 10A, Singapore

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Status in our records
Active
First seen by us
Sep 16, 2026
Recorded sightings
21
Last seen by us
Oct 8, 2026
Employer says posted
Sep 10, 2026

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