Senior Manager, Data Science, SMAI Singapore, Singapore Posted a day ago

Micron Technology, Inc.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a Senior Manager, Data Science to lead the SMAI Singapore data science and analytics efforts.

You will guide teams across inline, parametric, probe, sensor, and equipment data, applying ML and statistics to improve yield, process capability, and operational performance. You will work closely with Process Integration, Process Engineering, and Yield to transform complex manufacturing datasets into actionable insights, build scalable data solutions, and

Qualifications

• Master’s degree in Computer Science, Electronics Engineering, or a related technical discipline.
• 12+ years of overall professional experience, including 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.

Responsibilities

• 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.
• Partner with manufacturing and engineering teams to analyze inline, parametric, and probe data, identify yield detractors, troubleshoot issues, and drive continuous improvement.
• Extract, cleanse, integrate, and analyze large datasets from SQL databases, sensor networks, fabrication equipment, and other data sources.
• Apply statistical modeling, machine learning, and data science techniques to identify patterns and support defect reduction strategies.
• Design and analyze DOE experiments to improve process capability, margins, and manufacturing performance.
• Develop automated reports, analytical tools, prototypes, and dashboards using Dash, Plotly, and Streamlit.
• Manage a multi-stream analytics and data engineering portfolio with cross-functional partners to align priorities and delivery.

Skills

Python

SQL

NAND memory

SPC

DOE

FDC

EDA

Dash

Plotly

Angular

GCP

Snowflake

GitHub Copilot

Code Assist

OpenCode

Roo Code

Education

Master’s degree in Computer Science, Electronics Engineering, or a related technical discipline

Tools

GitHub

JIRA

Dash

Plotly

Angular

Job description

## Senior Manager, Data Science, SMAISingapore, SingaporeApply NowFind out how well you match with this jobJob ID: JR115495**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.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.**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\\[e-mail] 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.