Micron Technology Jobs

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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.

Position Overview:

As a Data Scientist at Micron Technologies, you will play a crucial role in analyzing and extracting valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control! You’ll collaborate with cross-functional teams to develop innovative solutions that improve product performance, yield, and reliability.

Responsibilities:

• Data Analysis: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates.

• Model Development: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality.

• Feature Engineering: Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.

• Anomaly Detection: Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.

• Collaboration: Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions.

• Visualization: Create clear and informative visualizations to communicate findings and insights to customers.

• Continuous Improvement: Stay up-to-date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing.

Qualifications:

• Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable.

• Project Skills: AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, Configuration management

Education:

• Master’s or Ph.D. with thesis in Chemical Engineering, Mechanical/Aerospace Engineering, Computer Science, Software Engineering, Process and Control Engineering, or related Field.

• Master’s or Ph.D. Degree level thesis research focus in Data Analytics, Data Science, Virtual Metrology, and/or AI.

Technical Skills:

• Proficiency in Python,

• Strong knowledge of machine learning algorithms and statistical techniques.

• Familiarity with web application and reporting, Experience with SQL and database management.

Technologies:

ML frameworks:

• Decision trees, Clustering, Regression, Neural Networks, NLP, Pytorch, Big data, Tensorflow, Pandas, Streamlit

Tools and technologies:

• Docker, Containerization, Kubernetes, Jenkins, Ansible, Elasticsearch, SSL, Microservices, data visualization tools (e.g., Streamlit, Tableau, PowerBI, etc.).

Cloud expertise:

• Google Cloud Platform, OpenShift Container Platform

AI Skills:

• AI specialization and Virtual Metrology/Modeling/Computation:

• python library sklearn, xgboost, pycaret, etc. but the capability to learn any new package is most important.

• familiar with the general process of data science work like data extraction, feature extraction, feature selection and modeling.

• familiar with the skills to deal with time series data (feature extraction, modelling, similarity measure of time series)

• Image specialization:

• Familiar with deep learning network CNN and package keras.

Frontend:

• Languages: HTML, CSS, JavaScript, Typescript

• Frameworks/Libraries: Angular, HighCharts, Plotly, AG Grid, BootStrap, Ngx Bootstrap, RxJS

• High capability to learn any new package.

• Packaging: npm, Jenkins

Backend/API:

• Languages: Python

• Preferred but not required: Java, C#, PHP, Perl, C++ Frameworks: Flask, FastAPI, Experience with RESTful APIs, Minor experience with WSLs

• Databases: MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Neo4j, BigQuery SQL, Snowflake SQL, basic understanding of SSL

Tools:

• Git , Bitbucket

Soft Skills:

• Analytical approach and problem-solving abilities.

• Excellent communication skills to collaborate with cross-functional teams.

• Adaptability and willingness to learn new technologies and methodologies.

Schedule:

• Ability to conduct and/or attend meetings when needed in the evening.

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.