Back to jobs

Manager, Data Science, SMAI

Location not identified

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Micron

What you’ll work on

Full posting
  • Partner with Yield, LPD, Cost, IET, Planning leaders to maintain prioritization, risk transparency, and dependency alignment.

From the employer’s posting
What You’ll Do * Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. * Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. * Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. * Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies. * Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. * Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes effectively to engineering stakeholders. * Cross–Functional Execution & Governance: Manage a multi–stream delivery portfolio with predictable, high–quality releases. Partner with Yield, LPD, Cost, IET, Planning leaders to maintain prioritization, risk transparency, and dependency alignment. What You Bring:

What you’ll bring

All qualifications

Core experience

  • Understanding of semiconductor fabrication processes, equipment, and device physics is must.
Qualification wording
* Masters in Computer Science, Electronics Engineering * Prior experience in the semiconductor industry is must. Understanding of semiconductor fabrication processes, equipment, and device physics is must. * Minimum 12+ years overall experience with at least 2-3 years' experience in leading global Analytics and/or Data Science teams.

Tools in this posting

  • Python
  • SQL
  • Google Cloud (GCP)
  • Plotly
  • Streamlit
  • Snowflake
Source — Tool mentions in context
Must have Technical Skills * Programming & Data Engineering: Minimum 8 years of experience in Python programming skills and experience with SQL for data extraction and manipulation. Cloud & Data Platforms: GCP Suite, Snowflake * Statistical Analysis: Minimum 8 years of expertise in role which is with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving. Highly Desirable/Preferred skills or experience
What You’ll Do * Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. * Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. * Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. * Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies. * Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. * Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes effectively to engineering stakeholders. * Cross–Functional Execution & Governance: Manage a multi–stream delivery portfolio with predictable, high–quality releases. Partner with Yield, LPD, Cost, IET, Planning leaders to maintain prioritization, risk transparency, and dependency alignment. What You Bring:
Highly Desirable/Preferred skills or experience * Data Visualization: At least 8 years of working experience utilizing data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly. * Engineering & Delivery: Experience in Github, JIRA will be plus. * Expertise in Code Gen tools: Code Assist, Open Code, Roo Code, Github copilot will be important. * Proven success delivering multi–stream, cross–functional data engineering programs. * Experience with AI–driven engineering acceleration and modern data–stack standardization. * Strong track record improving data quality, release predictability, and platform performance. * Ability to mentor technical talent and influence architectural direction. * Excellent stakeholder engagement and cross–functional communication skills. * Knowledge of memory architecture (NAND) is added advantage. Job Profile(s):

Job description

View original posting ↗

Req. ID: JR109415 Manager, Data Science, SMAI 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. Job Description What You’ll Do * Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. * Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. * Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. * Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies. * Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. * Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes effectively to engineering stakeholders. * Cross–Functional Execution & Governance: Manage a multi–stream delivery portfolio with predictable, high–quality releases. Partner with Yield, LPD, Cost, IET, Planning leaders to maintain prioritization, risk transparency, and dependency alignment. What You Bring: Minimum Required Qualifications/Experience * Masters in Computer Science, Electronics Engineering * Prior experience in the semiconductor industry is must. Understanding of semiconductor fabrication processes, equipment, and device physics is must. * Minimum 12+ years overall experience with at least 2-3 years' experience in leading global Analytics and/or Data Science teams. Must have Technical Skills * Programming & Data Engineering: Minimum 8 years of experience in Python programming skills and experience with SQL for data extraction and manipulation. Cloud & Data Platforms: GCP Suite, Snowflake * Statistical Analysis: Minimum 8 years of expertise in role which is with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving. Highly Desirable/Preferred skills or experience * Data Visualization: At least 8 years of working experience utilizing data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly. * Engineering & Delivery: Experience in Github, JIRA will be plus. * Expertise in Code Gen tools: Code Assist, Open Code, Roo Code, Github copilot will be important. * Proven success delivering multi–stream, cross–functional data engineering programs. * Experience with AI–driven engineering acceleration and modern data–stack standardization. * Strong track record improving data quality, release predictability, and platform performance. * Ability to mentor technical talent and influence architectural direction. * Excellent stakeholder engagement and cross–functional communication skills. * Knowledge of memory architecture (NAND) is added advantage. Job Profile(s): Data Scientist Manager 1 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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on careers.micron.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Location not supplied.

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 7, 2026
Recorded sightings
37
Last seen by us
Oct 9, 2026
Employer says posted
Sep 4, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.