Senior Manager, Data Science, SMAI

Req. ID:

JR115495 Senior Manager, Data Science, SMAI (Evergreen)

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

We are looking for an accomplished Manager, Data Science to lead the next evolution of our TD NAND data science and analytics capabilities in Singapore.

This is a high-impact leadership role at the intersection of semiconductor manufacturing, data science, advanced analytics, and engineering. You will lead teams that apply statistical methods, machine learning, data engineering, and advanced analytics to solve complex manufacturing challenges and improve process capability, device yield, and operational performance.

Working closely with Process Integration, Process Engineering, Inline/Metrology/RDA, Yield, and other cross-functional engineering teams, you will transform large and complex datasets into actionable engineering insights.

You will also play a hands-on role in shaping analytical approaches, developing prototypes, enabling rapid ad-hoc analysis, identifying sources of variation (SOV), and building scalable algorithms and automated data solutions using inline, parametric, probe, sensor, and equipment data.

Because of the highly technical nature of this role, strong semiconductor manufacturing knowledge and experience are essential.

## What You’ll Do

• Lead & Develop High-Performing Teams

Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors while fostering a culture of technical excellence, innovation, collaboration, and continuous improvement.

• Drive Yield & Process Optimization

Partner with semiconductor manufacturing and engineering teams to analyze inline, parametric, and probe data, identify key yield detractors, troubleshoot manufacturing issues, and drive continuous improvement.

• Build Data Pipelines & Automation

Extract, cleanse, integrate, and analyze large datasets from SQL databases, sensor networks, fabrication equipment, and other manufacturing data sources.

• Advance Analytics & Machine Learning

Apply statistical modeling, machine learning, and data science techniques to identify patterns, understand sources of variation, troubleshoot yield issues, and support defect reduction strategies.

• Enable Engineering Experimentation

Partner with Process and Integration Engineers to design and analyze Design of Experiments (DOE), improving process capability, margins, and manufacturing performance.

• Turn Data into Actionable Insights

Develop automated reports, analytical tools, prototypes, and dashboards using technologies such as Dash, Plotly, and Streamlit, making complex engineering insights accessible to key stakeholders.

• Lead Cross-Functional Execution

Manage a multi-stream analytics and data engineering portfolio while partnering with Yield, LPD, Cost, IET, Planning, and other engineering leaders to align priorities, dependencies, risks, and delivery.

## What You Bring

### Minimum Qualifications & Experience

• Master’s degree in Computer Science, Electronics Engineering, or a related technical discipline.
• 12+ years of overall professional experience, including at least 2–3 years leading global Analytics and/or Data Science teams.
• Strong hands-on experience within the semiconductor industry.
• Solid understanding of semiconductor fabrication processes, manufacturing equipment, and device physics.

### Essential Technical Expertise

• Programming & Data Engineering: 8+ years of experience working with Python and strong proficiency in SQL for data extraction, transformation, and analysis.
• Cloud & Data Platforms: Experience with GCP and Snowflake.
• Statistics & Engineering Analytics: 8+ years of experience applying statistical methodologies and data-driven problem solving, including areas such as SPC, DOE, FDC, and EDA.
• Demonstrated ability to translate complex semiconductor manufacturing data into practical engineering insights and solutions.

### Highly Desirable Experience

• 8+ years of experience with data visualization and application development technologies such as Dash, Plotly, and Angular.
• Experience with engineering and delivery tools such as GitHub and JIRA.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Code Assist, OpenCode, and Roo Code.
• Proven success delivering multi-stream, cross-functional data engineering and analytics programs.
• Experience using AI to accelerate engineering and software development workflows.
• Experience standardizing modern data platforms and improving data quality, platform performance, and release predictability.
• Strong ability to mentor technical talent and influence technical and architectural direction.
• Excellent stakeholder management and cross-functional communication skills.
• Knowledge of NAND memory architecture is a strong advantage.

Job Profile(s):

Data Scientist Manager 2

Relocation level: (TBD)

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

• Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

​​​​

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.