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.

As a Data Science Manager, you will set the vision and lead the development of a high‑performing analytics team. In this role, you will guide a dedicated group of data scientists, partner with key collaborators, and deliver data-driven solutions that address complex strategic and operational challenges. You will use strong problem‑solving and analytical skills to uncover insights, improve processes, and create measurable business impact. This is a highly collaborative role working closely with operations, engineering, IT, and leadership teams across the organization.

Responsibilities:

• Lead and develop a high-performing Data Science team. Mentor members, manage performance, and ensure timely completion of required training. Encourage a culture of continuous learning and growth.

• Oversee Data Science applications and global support, defining, implementing, and maintaining Best Known Methods across regions to ensure consistency and operational excellence.

• Provide strategic leadership that drives innovative, data‑driven solutions for complex business challenges and supports both tactical and long-term objectives.

• Collaborate with cross‑functional partners to agree on expectations, communicate priorities, and deliver solutions that support key performance metrics and organizational goals.

• Develop, guide, and review advanced Machine Learning and Deep Learning models using large datasets, sensor data, metadata, and predictive modeling techniques.

• Select and communicate modeling approaches clearly, including model behavior, design considerations, visualization modes, imaging concepts, and interpretability.

• Leverage high‑performance computing environments (Spark, Open Shift, CPU/GPU architectures) to enable scalable model development and sophisticated analytics.

• Lead project governance and reporting, including decisions to modify, sustain, or discontinue initiatives to meet Fab/area objectives, and prepare monthly and quarterly updates while ensuring a safe, ethical, and compliant work environment.

Minimum Qualifications:

• MS/PhD (or equivalent experience) in Data Science, Statistics, Computer Science, or an engineering field, with demonstrated experience applying data science to manufacturing, process, yield, or defect data to support decision‑making.

• Proven ability to deploy analytics and ML solutions that drive yield improvement and process optimization, including anomaly detection, outlier identification, and translating insights into actionable recommendations for process or equipment changes.

• Strong cross‑functional collaboration skills and the ability to partner with process, equipment, PI, and other domain experts to define problems, validate results, and communicate insights clearly through visualizations or dashboards.

• Demonstrated success in standardizing and scaling solutions across teams or sites, improving adoption, and reducing ad‑hoc work through training, enablement, and sustainable productization.

Preferred Qualifications:

• Experience supporting yield ramp and HVM enablement, including finding opportunities, investigating yield‑limiting mechanisms, and scaling solutions from rapid tactical fixes to long‑term monitoring.

• Familiarity with yield management platforms and related applications.

• Experience with virtual metrology, process control, and quality control methods, and building models that integrate with fab workflows to improve detection, stability, and response.

• Strong data science skills passionate about delivering practical solutions. This includes deploying models and analytics as services or dashboards. Use modern tools like containers, CI-CD, large-scale data pipelines, and visualization or reporting platforms.

• Proven people-leadership capabilities, including mentoring and developing data scientists. Skilled at managing priorities and working with collaborators. Ensures delivery meets ramp achievements with consistent focus on scope, quality, and timelines.

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 micron.com/careers/benefits.

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, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

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.

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