Senior Data Scientist: AI & Optimization for Manufacturing

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; Hybrid; SGD 140,000 - 210,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte Ltd invites applications for a capacity optimization and data science role focused on manufacturing analytics. You will develop predictive and prescriptive models to optimize capacity usage, throughput, and cycle times across semiconductor fabs.

Ideal candidates have strong ML/optimization backgrounds, experience with production scheduling, and the ability to translate insights into actionable business actions.

Qualifications

• Master's degree or higher in a quantitative field such as Electrical Engineering, Statistics, Mathematics, or related discipline.
• Strong experience in mathematical optimization, statistical modeling, machine learning, reinforcement learning, and algorithm development.
• Strong programming skills in Python, R, and MATLAB for data analysis, modeling, simulation, and machine learning applications.
• Experience developing optimization algorithms, including heuristic-based optimization, resource allocation under constraints, dynamic programming, and sequential decision-making models.
• Experience designing and evaluating reinforcement learning (RL) models, Markov Decision Processes (MDPs), and learning-based decision systems.
• Experience building simulation pipelines and conducting large-scale numerical experiments to evaluate algorithm performance and decision quality.
• Strong capability in data analysis, statistical inference, model validation, predictive modeling, and performance benchmarking.
• Experience processing and analyzing large-scale datasets and applying machine learning techniques to generate actionable insights.
• Familiarity with deep learning, LLMs, RAG, and Agentic AI concepts.
• Strong written and verbal communication skills, demonstrated through peer-reviewed publications and the ability to translate analytical results into actionable insights for stakeholders.

Responsibilities

• 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 LP, MILP, 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.
• 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.
• 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.
• 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.

Skills

Mathematical optimization

Statistical modeling

Machine learning

Python

R

MATLAB

Communication

Stakeholder management

Education

Master's degree

PhD preferred

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

PuLP

Python

SQL

R

Spark

Job description

Micron Semiconductor Asia Operations Pte Ltd invites applications for a capacity optimization and data science role focused on manufacturing analytics. You will develop predictive and prescriptive models to optimize capacity usage, throughput, and cycle times across semiconductor fabs.

Ideal candidates have strong ML/optimization backgrounds, experience with production scheduling, and the ability to translate insights into actionable business actions.