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Staff Data Scientist, Global Operations Intelligence, SMAI

Micron


Job Location:

Singapore - Singapore

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 8 October 2026
Vacancies: 1 Vacancy

Job Summary

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.

Key Responsibilities
Capacity Optimization & Advanced Analytics
  • Develop optimization models to improve factory capacity utilization throughput cycle time tool loading and bottleneck management.
  • Build mathematical models for capacity planning production allocation constraint identification and investment prioritization.
  • Apply operations research techniques such as linear programming mixed-integer programming constraint programming stochastic optimization and simulation-based optimization.
  • Design algorithms to support factory maxout strategies and identify opportunities to unlock additional capacity without unnecessary capital investment.
Semiconductor Manufacturing Problem Solving
  • Partner with manufacturing industrial engineering planning equipment process and business teams to understand capacity constraints and operational challenges.
  • Analyze tool capability process flows product mix WIP movement cycle time dispatching rules and factory constraints to recommend optimization opportunities.
  • Support scenario analysis for capacity expansion product mix changes technology transitions and capital planning decisions.
  • Develop data-driven recommendations that improve decision quality across tactical and strategic planning horizons.
Data Science AI/ML & Decision Intelligence
  • Build predictive and prescriptive analytics models using large-scale manufacturing and planning datasets.
  • Apply machine learning techniques to forecast capacity demand identify abnormal patterns predict bottlenecks and recommend operational actions.
  • Integrate optimization engines with data pipelines visualization dashboards and decision-support tools.
  • Collaborate with software engineering teams to deploy scalable analytical models into production systems.
Stakeholder Engagement & Business Impact
  • Translate complex analytical findings into clear actionable insights for technical teams and business leaders.
  • Quantify business impact in terms of capacity gain cost avoidance cycle time reduction productivity improvement and capital efficiency.
  • Drive cross-functional alignment by communicating assumptions model logic trade-offs and recommendations effectively.
  • Contribute to roadmap development for advanced capacity intelligence factory digital twin and AI-driven planning capabilities.
Required Qualifications
  • Masters degree or higher in Operations Research Industrial Engineering Data Science Computer Science Applied Mathematics Statistics Systems Engineering or a related quantitative field.
  • Strong experience in mathematical optimization simulation statistical modeling or machine learning.
  • Proficiency in programming languages such as Python R or similar analytical programming tools.
  • Experience with optimization libraries or solvers such as Gurobi CPLEX OR-Tools Pyomo PuLP or equivalent.
  • Strong capability in data analysis feature engineering model validation and algorithm design.
  • Experience working with large datasets from manufacturing supply chain planning or operational systems.
  • Ability to structure ambiguous business problems into analytical frameworks and deliver practical solutions.
  • Strong communication skills with the ability to explain complex models to both technical and non-technical stakeholders.
  • Demonstrated ability to work cross-functionally in a fast-paced global and matrixed environment.
Preferred Qualifications
  • PhD in Operations Research Industrial Engineering Applied Mathematics Systems Engineering or a closely related field.
  • Strong semiconductor manufacturing experience particularly in wafer fabrication assembly/test advanced packaging capacity planning or industrial engineering.
  • Deep understanding of semiconductor manufacturing concepts such as process flows tool groups WIP cycle time bottlenecks dispatching product mix yield and equipment utilization.
  • Experience developing capacity planning production scheduling factory simulation or digital twin solutions.
  • Hands-on experience with discrete-event simulation agent-based simulation or factory simulation platforms.
  • Experience deploying optimization or AI/ML models into production environments.
  • Familiarity with manufacturing systems such as MES ERP APS data warehouses or planning platforms.
  • Knowledge of cloud platforms data engineering pipelines APIs and scalable model deployment is a plus.
  • Experience leading analytical projects from problem definition through implementation and business adoption.
  • Proven track record of delivering measurable business impact through optimization automation or AI-driven decision support.
Key Technical Skills
  • Mathematical optimization: LP MILP nonlinear optimization constraint programming stochastic optimization.
  • Simulation: discrete-event simulation what-if analysis scenario modeling digital twin concepts.
  • Data science: regression classification clustering time-series forecasting anomaly detection predictive modeling.
  • Programming: Python SQL R Spark Git.
  • Optimization tools: Gurobi CPLEX OR-Tools Pyomo PuLP.
  • Visualization and communication: Power BI Tableau Plotly Dash or equivalent.
  • Manufacturing analytics: capacity modeling bottleneck analysis tool utilization cycle time WIP flow throughput modeling.
Core Competencies
  • Strong analytical and structured problem-solving mindset.
  • Ability to balance technical rigor with practical business implementation.
  • Excellent stakeholder management and communication skills.
  • Comfortable working with ambiguity and evolving business requirements.
  • Passion for applying AI optimization and advanced analytics to real-world manufacturing challenges.
  • Strong ownership mindset with the ability to drive initiatives from concept to execution.
  • Collaborative style with the ability to influence across engineering operations planning and leadership teams.

About Micron Technology Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 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 accommodationsplease contact

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 candidates 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.


Required Experience:

Staff IC


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