Sr Data Scientist

Posted Yesterday
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Boise, ID, USA
In-Office
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Your talent powers our future.
The Role
Develop predictive and machine learning models using large-scale semiconductor manufacturing data to detect anomalies, improve yield, and optimize processes. Responsibilities include exploratory data analysis, feature engineering, visualization, data cleansing, prototype development, and production deployment. Collaborate with engineers and domain experts to translate manufacturing challenges into scalable data-driven solutions, while applying generative AI and advanced analytics to wafer production and quality improvement.
Summary Generated by Built In
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 Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.
You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.
Responsibilities:
  • Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
  • Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
  • Visualization: Build clear and informative visualizations to communicate findings and insights to stakeholders.
  • Collaboration: Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
  • Continuous Improvement: Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing

Minimum Qualifications:
  • B.S./M.S. in Data Science, Computer Science, Industrial Engineering, or related engineering field, with 3+ years of experience applying statistical modeling, machine learning, and deep learning in engineering or industrial environments.
  • Strong programming and data skills, including Python, machine learning frameworks (e.g., PyTorch, scikit-learn), SQL, data extraction, cleansing, outlier detection, and missing data analysis.
  • Proven ability to rapidly develop prototype solutions, translate business requirements into data science applications, and deploy scalable solutions into production environments.
  • Possesses excellent communication and collaboration skills. Explains complex models and results clearly to non-technical leaders and team members. Works independently and completes initiatives with internal and external partners.
  • Proactive problem solver passionate about learning semiconductor manufacturing. Works with terabytes to petabytes of data to solve memory wafer and process-related challenges in diverse environments.

Preferred Qualifications:
  • PhD (preferred) or equivalent experience in a related field, with expertise in developing scalable, end-to-end data science applications.
  • Experience with Google Cloud Platform or other large-scale data platforms, including robust full-stack development capabilities.
  • Strong background in Generative AI technologies, including RAG, LLM fine-tuning, agentic AI solutions, and root cause analysis (RCA) algorithms for solving complex industrial challenges.
  • Experience with Manufacturing Execution Systems (MES), wafer manufacturing processes, and yield analysis in semiconductor environments.
  • Publications at top conferences (CVPR, NeurIPS, ICML, KDD, etc.) are a plus, though the role is focused on applied industry solutions rather than research.

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 [email protected] 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.
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.

Skills Required

  • Bachelor’s or master’s degree in Data Science, Computer Science, Industrial Engineering, or a related engineering field
  • At least 3 years of experience applying statistical modeling, machine learning, and deep learning in engineering or industrial environments
  • Strong programming and data skills, including Python, machine learning frameworks, SQL, data extraction, cleansing, outlier detection, and missing data analysis
  • Ability to rapidly develop prototypes, translate business requirements into data science applications, and deploy scalable solutions into production
  • Excellent communication and collaboration skills, including explaining complex models and results to nontechnical stakeholders
  • Ability to work independently and complete initiatives with internal and external partners
  • Problem-solving ability and willingness to learn semiconductor manufacturing
  • Experience working with terabytes to petabytes of data
  • PhD or equivalent experience in a related field
  • Experience developing scalable, end-to-end data science applications
  • Experience with Google Cloud Platform or other large-scale data platforms
  • Full-stack development capabilities
  • Experience with generative AI, RAG, LLM fine-tuning, agentic AI, and root cause analysis algorithms
  • Experience with Manufacturing Execution Systems, wafer manufacturing processes, and yield analysis
  • Publications at top conferences such as CVPR, NeurIPS, ICML, or KDD

Micron Technology Compensation & Benefits Highlights

  • Healthcare Strength — Health insurance is portrayed as comprehensive, with medical, dental, vision, prescription coverage and access to on-site or near-site health centers at many locations. Feedback suggests employees regard the coverage as very good overall.
  • Retirement Support — The 401(k) program is considered strong, with company materials citing a 5% match and multiple contribution options. Feedback suggests this match is frequently highlighted as a standout benefit.
  • Equity Value & Accessibility — Equity participation is accessible through a 15%‑discount ESPP, with RSUs offered in eligible roles. Feedback suggests these stock programs add meaningful value to total compensation.

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The Company
HQ: Boise, ID
45,000 Employees
Year Founded: 1978

What We Do

We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.

Why Work With Us

Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.

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Micron Technology Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options

Typical time on-site: Flexible
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