Senior Manager, Data Science, SMAI

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.

• →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.

• 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.

• 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.

• 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.

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_sg@micron.com

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 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.