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Data Scientist - Job Opportunity at Micron Technology, Inc.

Singapore, Singapore
Full-time
Mid-level
Posted: August 21, 2025
On-site
USD 95,000 - 130,000 per year. Singapore's semiconductor industry offers competitive compensation with this role likely positioned in the upper mid-range due to Micron's market leadership, the specialized nature of industrial data science, and the strong demand for AI/ML expertise in manufacturing. The combination of advanced degree requirements and industrial experience commands premium compensation in the Singapore tech market.

Benefits

Opportunity to work with cutting-edge memory and storage technologies that power AI and 5G applications
Access to terabytes and petabytes of diverse industrial manufacturing datasets for advanced analytics
Collaborative environment with experienced Data Scientists, Data Engineers, and cross-functional teams
Professional development opportunities in highly automated industrial manufacturing
Inclusive workplace culture committed to diversity and equal employment opportunities
Exposure to semiconductor industry leadership and innovative memory solutions
Career growth in a Fortune 500 technology company with global market presence

Key Responsibilities

Drive strategic data science initiatives in semiconductor manufacturing by applying advanced mathematical, statistical, and machine learning techniques to extract actionable insights from massive industrial datasets
Lead cross-functional collaboration with Data Scientists, Engineers, and UX teams to identify high-impact data analysis projects that directly influence manufacturing optimization and product innovation
Architect and develop sophisticated software programs, algorithms, and automated processes to integrate and analyze disparate data sources, enabling data-driven decision making across manufacturing operations
Spearhead exploratory research and novel solution development activities that push the boundaries of industrial data science applications in semiconductor manufacturing
Execute production deployment of machine learning models and analytics solutions, coordinating multi-functional communications and managing live environment implementations
Transform raw manufacturing data into predictive models and strategic insights that support Micron's technology leadership in memory and storage solutions

Requirements

Education

Master or PhD degree in Computer Science, Mathematics, Statistics, Software Engineering or other quantitative field

Experience

More than 1 year of relevant work experience

Required Skills

Proficiency in machine learning and advanced analytical methods Strong programming skills in Python Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar Familiarity with front-end and visualization tools like JavaScript, AngularJS 2.0, Tableau, Python Dash or Streamlit Statistical modeling Computer vision Deep learning Machine learning LLM Generative AI Feature extraction and analysis Supervised/unsupervised/semi-supervised learning SQL and other query languages Data cleansing, outlier identification, and missing data techniques Strong verbal and written communication skills
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Sauge AI Market Intelligence

Industry Trends

The semiconductor industry is experiencing unprecedented growth driven by AI, 5G, and edge computing applications, creating massive demand for data scientists who can optimize manufacturing processes and improve yield rates through advanced analytics. Industrial IoT and Industry 4.0 initiatives are transforming semiconductor manufacturing, requiring data scientists to work with increasingly complex sensor data, real-time monitoring systems, and predictive maintenance algorithms. The integration of generative AI and large language models in semiconductor design and manufacturing processes is creating new opportunities for data scientists to develop innovative solutions for process optimization and quality control. Memory and storage technologies are becoming critical bottlenecks in AI infrastructure, driving demand for data scientists who can optimize manufacturing processes to meet the explosive growth in data center and AI accelerator markets.

Role Significance

Typically part of a 8-12 person data science and analytics team within Micron's larger engineering organization, with direct collaboration across multiple departments including manufacturing, quality control, and product development teams.
This role represents a mid-level individual contributor position with significant technical responsibility and cross-functional influence. The position requires advanced technical skills and independent project leadership while working within established team structures and reporting frameworks.

Key Projects

Development of predictive maintenance models for semiconductor fabrication equipment to minimize downtime and optimize production efficiency Implementation of computer vision systems for automated defect detection and quality control in wafer manufacturing processes Creation of yield optimization algorithms that analyze manufacturing parameters to improve product quality and reduce waste Building time-series forecasting models for demand planning and supply chain optimization in memory and storage product lines

Success Factors

Deep understanding of both statistical modeling principles and practical manufacturing constraints, enabling the development of models that are both mathematically sound and operationally viable in industrial settings. Strong communication skills to translate complex analytical findings into actionable recommendations for manufacturing teams, quality engineers, and business stakeholders who may not have technical backgrounds. Ability to work with messy, real-world industrial data including sensor readings, process parameters, and quality metrics that often require extensive cleaning and preprocessing before analysis. Cross-functional collaboration skills to work effectively with hardware engineers, process engineers, and manufacturing operations teams to implement data-driven solutions in production environments.

Market Demand

Very High. The convergence of semiconductor manufacturing expertise with advanced AI/ML capabilities represents one of the most sought-after skill combinations in the current tech market, particularly as companies race to optimize production for AI-driven applications.

Important Skills

Critical Skills

Python programming proficiency is absolutely essential as it serves as the primary language for data analysis, machine learning model development, and integration with manufacturing systems. The ability to write clean, efficient Python code directly impacts the scalability and maintainability of analytical solutions in production environments. Deep learning frameworks expertise, particularly PyTorch and TensorFlow, is critical for developing sophisticated models that can handle the complexity of semiconductor manufacturing data, including computer vision applications for defect detection and time-series analysis for process optimization. SQL and database management skills are fundamental for extracting and manipulating the massive volumes of manufacturing data generated by semiconductor fabrication processes, requiring the ability to optimize complex queries across distributed data systems.

Beneficial Skills

Cloud platform experience, particularly with Google Cloud Platform, becomes increasingly valuable as semiconductor companies migrate analytics workloads to scalable cloud infrastructure for handling petabyte-scale datasets. Knowledge of distributed computing frameworks like PySpark is beneficial for processing the enormous datasets typical in semiconductor manufacturing, where traditional single-machine approaches become computationally infeasible. Understanding of Manufacturing Execution Systems (MES) provides valuable context for how data science solutions integrate with existing manufacturing infrastructure and quality control processes.

Unique Aspects

This role offers the rare opportunity to apply cutting-edge AI and machine learning techniques to real-world semiconductor manufacturing challenges, working with some of the most advanced industrial datasets in the technology sector.
The position provides exposure to both the technical aspects of semiconductor physics and materials science alongside advanced data science methodologies, creating a unique interdisciplinary learning environment.
Working at Micron in Singapore offers access to one of the world's most advanced semiconductor manufacturing ecosystems, with opportunities to collaborate with leading engineers and researchers in memory technology development.
The role combines research-oriented exploration of novel analytical approaches with immediate practical application in high-volume manufacturing environments, bridging academic methodology with industrial impact.

Career Growth

Career progression typically occurs within 2-4 years for high performers, with advancement dependent on demonstrated impact on manufacturing outcomes, technical skill development, and leadership capabilities in cross-functional project environments.

Potential Next Roles

Senior Data Scientist positions with expanded project leadership responsibilities and mentorship of junior team members Principal Data Scientist roles focusing on strategic initiative leadership and cross-functional program management Data Science Manager positions overseeing teams and driving organizational data strategy Specialized roles in AI/ML engineering focusing on production system development and MLOps implementation

Company Overview

Micron Technology, Inc.

Micron Technology is a global leader in memory and storage solutions, ranking among the world's largest semiconductor companies with a focus on DRAM, NAND flash, and NOR memory technologies. The company serves critical markets including data centers, mobile devices, automotive, and industrial applications, with manufacturing operations across multiple continents.

Micron holds a dominant position in the global memory market, competing directly with Samsung and SK Hynix in a highly concentrated industry. The company's technological innovations in memory architecture and manufacturing processes position it as a critical supplier to major technology companies and cloud service providers.
Singapore represents a strategic hub for Micron's Asia-Pacific operations, serving both as a manufacturing center and regional headquarters for engineering and business operations. The location provides access to the broader Southeast Asian semiconductor ecosystem and supply chain networks.
Micron emphasizes innovation, collaboration, and technical excellence with a strong focus on continuous learning and professional development. The company's culture supports data-driven decision making and encourages cross-functional collaboration to solve complex manufacturing and technology challenges.
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